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  "timeStamp": 1777615239462,
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    {
      "id": "5294559",
      "title": "Path Traced Hair in Unreal Engine 5.7",
      "summary": "NVIDIA just released an updated RTX™ Branch of Unreal Engine (NvRTX) with 5.7. We’ll go over the added features, such as path-traced hair, along with new opportunities for optimizations and image quality improvements. Attend this webinar to gain: Insight into the latest features and support of NvRTX, now using Unreal Engine 5.7.2. Recap of NVIDIA’s “State of RTX Rendering in Unreal Engine 5” at GDC.",
      "startsAtUtc": "2026-04-29T16:45:00Z",
      "endsAtUtc": "2026-04-29T18:10:23Z",
      "status": "on-demand",
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    },
    {
      "id": "5281032",
      "title": "GTC 2026 フォローアップ ウェビナー",
      "summary": "3 月16〜19 日に開催した NVIDIA 最大の AI カンファレンス「GTC 2026」では、開発者、研究者、ビジネス リーダーが一堂に会し、フィジカル AI と AI ファクトリーから、エージェント型、推論まで、あらゆる業界を形作る画期的な技術を紹介しました。当ウェビナーでは、GTC 2026 での主要な発表内容について、 NVIDIA 日本法人の各トピックのエキスパートより改めて解説いたします。NVIDIA が創り出す AI エコシステムの未来とそれを支える技術に関する理解を深め、貴社のビジネスや取り組みの一助にしていただければ幸いです。皆さまのご参加をお待ちしております。主な内容:NVIDIA CEO ジェンスン フアンによる基調講演のハイライトエージェント型 AI 関連の最新ソリューションロボティクスや産業デジタルツイン含むフィジカル AI 関連の最新ソリューションAI インフラ / AI ファクトリ における最新動向とソリューション講演者に直接質問できる ライブ Q&A",
      "startsAtUtc": "2026-04-17T03:45:00Z",
      "endsAtUtc": "2026-04-17T05:59:44Z",
      "status": "on-demand",
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    {
      "id": "5194008",
      "title": "Elevate Your AI Operations With Simplified Workload Management",
      "summary": "Join us for a webinar on NVIDIA Run:ai 2.24 to explore how teams manage the growing complexity of AI workloads. As environments scale, teams often face unpredictable performance, limited GPU availability, and the challenge of balancing multiple workloads while keeping projects on track. NVIDIA Run:ai’s core capabilities include intelligent scheduling, fine-grained resource controls, traffic balancing across Kubernetes replicas, and dynamic autoscaling. These features help workloads adapt to shifting priorities and make more efficient use of GPU resources. The session will also cover recent platform updates to access controls, endpoint management, and resource visibility, along with support for NVIDIA NIM™ microservices for inference. You will learn how these enhancements give infrastructure teams better oversight, simplify daily operations, and support reliable, scalable AI deployment. In this webinar, you’ll learn: Simplified and Secure Access—Learn how to manage authentication, credentials, and containerized inference services more efficiently. Better Control Over Endpoints—Understand how to manage access and connectivity for your inference workloads. Scalable and Optimized Inference—See how to efficiently scale workloads, balance resources, and maximize utilization. Resource Management and Monitoring—Explore tools for tracking performance, allocation, and overall workload health.",
      "startsAtUtc": "2026-02-05T16:45:00Z",
      "endsAtUtc": "2026-02-05T18:01:10Z",
      "status": "on-demand",
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    {
      "id": "5172156",
      "title": "揭密 NVIDIA AI 工廠",
      "summary": "AI 工廠正重新塑造資料中心的面貌，專為大量 AI 運算需求而設計。結合先進的 AI 基礎架構，支援 AI 工作負載的密集運算需求。這些工廠擅長 AI 推理、代理式 AI ，以及物理 AI，讓各行各業得以更快地做出更精準的決策。參加本場線上研討會，深入瞭解如何利用 NVIDIA 最新的 AI 工廠解決方案打造具有高效能、彈性及安全性的 AI 基礎架構，幫助企業大規模部署智慧化應用。參與本次線上研討會將會瞭解：AI 工廠與傳統資料中心的差異，探索 AI 工廠如何加速創新介紹 AI 工廠的核心架構，包括 NVIDIA 平台與全方位的硬體加速方案展示 NVIDIA 生態系統中管理工具與軟體堆疊，助力企業 AI 專案加速落地",
      "startsAtUtc": "2026-01-13T02:15:00Z",
      "endsAtUtc": "2026-01-13T03:34:59Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5172156",
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    },
    {
      "id": "5157897",
      "title": "RTX Optimizations in Unreal Engine 5",
      "summary": "The Level Up With NVIDIA webinar series connects developers with experts and provides insights on integrating the NVIDIA RTX™ platform within game engines. Learn how to squeeze every frame from the NVIDIA RTX Branch of Unreal Engine (NvRTX). We’ll cover performance tuning, feature scaling, and smart trade-offs for real-time path tracing. Attend this webinar to gain: Practical techniques to balance path tracing and AI for maximum performance Insight into profiling, bottleneck spotting, and fine-tuning NVRTX settings for real projects",
      "startsAtUtc": "2025-12-11T17:45:00Z",
      "endsAtUtc": "2025-12-11T19:09:54Z",
      "status": "on-demand",
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    {
      "id": "5156266",
      "title": "Get Ready for AI Infrastructure Certification",
      "summary": "Join industry experts for an exclusive global webinar on NVIDIA’s full AI infrastructure certification portfolio across associate and professional levels. Whether you’re an aspiring network engineer, DevOps, MLOps professional, or a data center specialist, this session will give you everything you need to earn an industry-recognized certification in AI infrastructure. What to expect in the webinar: Learn what’s new with NVIDIA Certification and how these programs align with AI infrastructure, networking, and operations. Review sample exam questions and study guides, and get practical guidance to help you prepare effectively. Preview the hands-on portion of the professional exams launching in 2026. Bonus for attendees: Receive an exclusive 50% off exam discount code.",
      "startsAtUtc": "2026-01-29T07:45:00Z",
      "endsAtUtc": "2026-01-29T09:00:12Z",
      "status": "on-demand",
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    },
    {
      "id": "5155439",
      "title": "Get Ready for AI Infrastructure Certification",
      "summary": "Join industry experts for an exclusive global webinar on NVIDIA’s full AI infrastructure certification portfolio across associate and professional levels. Whether you’re an aspiring network engineer, DevOps, MLOps professional, or a data center specialist, this session will give you everything you need to earn an industry-recognized certification in AI infrastructure. What to expect in the webinar: Learn what’s new with NVIDIA Certification and how these programs align with AI infrastructure, networking, and operations. Review sample exam questions and study guides, and get practical guidance to help you prepare effectively. Preview the hands-on portion of the professional exams launching in 2026. Bonus for attendees: Receive an exclusive 50% off exam discount code.",
      "startsAtUtc": "2026-01-29T16:45:00Z",
      "endsAtUtc": "2026-01-29T18:00:02Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5155439",
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    },
    {
      "id": "5144577",
      "title": "CAE リアルタイム デジタルツイン",
      "summary": "本ウェビナーでは、アンシス・ジャパンにご協力をいただき、コンピュータ支援エンジニアリング(CAE)のリアルタイムデジタルツインへの取り組みをご紹介します。NVIDIA からは、Blackwell での解析の加速、OpenUSD/Omniverseによる3Dワークフロー統合など、CAE向け Omniverse Blueprint のアップデートを行います。アンシスからは先に発表のあった Ansys ソリューションとOmniverse との連携、GPU対応状況を始め、デジタルツインとシミュレーションの今後を解説いただきます。学べる内容：リアルタイムデジタルツイン向け Omniverse Blueprint とは何かAnsysソリューションと Omniverse デジタルツインの連携の状況これからのデジタルエンジニアリングへの取り組み方",
      "startsAtUtc": "2025-12-11T04:45:00Z",
      "endsAtUtc": "2025-12-11T05:53:11Z",
      "status": "on-demand",
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    },
    {
      "id": "5136177",
      "title": "Accelerate Your Robotics Research with NVIDIA",
      "summary": "This concluding session will translate the series into a practical research playbook—how to stand up the NVIDIA “three computers” for robotics (train, simulate, deploy), choose the right hardware/software for your lab, and move from ideas to repeatable experiments. You’ll see concise demos of Isaac-based workflows and leave with starter configs, optimization tips, and resources your faculty/students can use immediately. Key Topics: Training Compute & Data Pipelines Simulation, Robot Learning, & Synthetic Data Edge Deployment on Jetson/IGX Lab Starter Configs & Resources",
      "startsAtUtc": "2025-12-16T16:45:00Z",
      "endsAtUtc": "2025-12-16T18:00:25Z",
      "status": "on-demand",
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    },
    {
      "id": "5136163",
      "title": "Edge AI for Autonomous Machines: Powering Robots with NVIDIA Jetson",
      "summary": "This session will focus on the practical deployment of AI models onto physical robots using the NVIDIA Jetson platform. It will cover the software stack, development workflows, and real-world applications of edge AI in robotics. Key Topics: The Need for Edge AI in Robotics NVIDIA Jetson Deep Dive JetPack SDK Isaac ROS: Optimizing AI Models for Edge Deployment Real-World Robotics Projects and Case Studies Best Practices for Edge Deployment",
      "startsAtUtc": "2025-12-12T16:45:00Z",
      "endsAtUtc": "2025-12-12T17:56:10Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5136163",
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    },
    {
      "id": "5136011",
      "title": "Sim-to-Real: Accelerating Robotics Development with NVIDIA Isaac Sim",
      "summary": "This session will deep dive into NVIDIA Isaac Sim, demonstrating its capabilities for creating realistic virtual environments, simulating robot behaviors, and generating synthetic data for AI model training. It will highlight the \"sim-to-real\" paradigm crucial for efficient robotics development. Key Topics: Introduction to Robotics Simulation NVIDIA Isaac Sim Features and Workflow: Realistic Physics Simulation Sensor Simulation Robot Models and Environments Robot Learning with Isaac Lab Training a robotics Reinforcement Learning policy",
      "startsAtUtc": "2025-12-09T16:45:00Z",
      "endsAtUtc": "2025-12-09T17:59:52Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5136011",
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    },
    {
      "id": "5135863",
      "title": "Introduction to Physical AI & Robotics at NVIDIA",
      "summary": "This session will provide a high-level overview of NVIDIA's comprehensive approach to robotics, emphasizing how our open models, frameworks, libraries and hardware are empowering developers to build intelligent and autonomous systems. Attendees will learn about the fundamental components of NVIDIA's robotics ecosystem. Key Topics: Introduction to Physical AI in Robotics NVIDIA's Vision for Robotics Overview of NVIDIA’s’ Robotics software and hardware offerings: Robotics: Open Models Synthetic data generation pipelines Simulation and learning frameworks On-robot runtime computer",
      "startsAtUtc": "2025-12-02T16:45:00Z",
      "endsAtUtc": "2025-12-02T17:56:32Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5135863",
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    },
    {
      "id": "5123900",
      "title": "エージェント型 AI を活用したデジタルヘルスの実現",
      "summary": "我が国では増え続ける医療費や医療従事者のリソース不足、医療機関の収益性悪化など、国民皆保険制度に基づく医療提供体制の継続が大きな困難に面しています。一方で、昨今の急速な生成 AI の発展はヘルスケアの世界にも大きな変革をもたらそうとしており、AI によるデジタルヘルスは臨床ドキュメンテーション、バックオフィス系業務の最適化、様々な患者ケアや患者モニタリング、予後予測や治療の意思決定支援など様々な応用が始まっています。こうした AI デジタルヘルス領域に向けて NVIDIA は、様々なオープン AI モデルを容易に推論配備できるマイクロサービスコンテナ、カスタムモデル開発やチューニングを容易にするフレームワーク、エージェント作成に向けたサンプル実装や管理ツール等、様々なソリューションを提供しています。さらに外部のスタートアップ企業や大手企業とも連携し、医療機関に向けた実践的なアプリケーションの普及に向けたエコシステムを構築しています。NVIDIA が創り出す ヘルスケア業界の AI エコシステムの未来とそれを支える技術に関する理解を深め、貴社のビジネスや取り組みの一助にしていただければ幸いです。 皆さまのご参加をお待ちしております。学べる内容：AI が理論だけでなく、実際の臨床現場でどのように実証済みの効果をもたらしているか会話から行動へと繋がるAIの活用が、ケアチームを活性化臨床現場への導入方法に関する実践的な洞察",
      "startsAtUtc": "2025-11-27T04:45:00Z",
      "endsAtUtc": "2025-11-27T06:27:26Z",
      "status": "on-demand",
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    {
      "id": "5086041",
      "title": "生成式物理 AI 實現自主機器新紀元",
      "summary": "「物理 AI 與機器人技術將掀起下一場產業革命。」–– NVIDIA 創辦人暨執行長黃仁勳。生成式物理 AI (physical AI) 使機器人、自動駕駛汽車和智慧空間等自主系統能夠感知、理解並執行真實物理世界中的複雜動作。可在虛擬世界訓練與模擬以物理為基礎的工作，再將其部署至現實生活中。此方法可以最大限度的減少虛擬與現實世界的差距，並最大限度的轉移機器所學到的行為至現實世界中。此技術將對製造業、物流與倉儲、汽車及運輸、醫療健康照護、智慧城市與基礎設施等領域產生顯著效益，促使人類能夠藉由整合自主機器或機器人等先進系統，更有效率地執行各項標準作業流程。參與本次線上研討會將會瞭解：何謂生成式物理 AI 與其效益NVIDIA 物理 AI 技術與端到端解決方案如何開始使用與部署 NVIDIA 物理 AI 技術",
      "startsAtUtc": "2025-10-22T01:45:00Z",
      "endsAtUtc": "2025-10-22T03:02:56Z",
      "status": "on-demand",
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    },
    {
      "id": "5056964",
      "title": "How to Prepare for NVIDIA Generative AI Certification",
      "summary": "Whether you’re a developer building the next wave of AI innovation or a technical leader interested in validating your team’s skills, this webinar will prepare attendees to earn an industry-recognized NVIDIA certification in generative AI. We’ll focus on the following generative AI certification exams: Associate: Generative AI and LL Associate: Multimodal Generative NEW! Professional: Agentic NEW! Professional: Generative AI LL This deep-dive session will be packed with valuable preparation information. If you’re just learning about NVIDIA certifications and want to know more about the program, exam lineup, and what to expect, check out the resources section below to get started.",
      "startsAtUtc": "2025-10-07T06:45:00Z",
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    },
    {
      "id": "5056948",
      "title": "How to Prepare for NVIDIA Generative AI Certification",
      "summary": "Whether you’re a developer building the next wave of AI innovation or a technical leader interested in validating your team’s skills, this webinar will prepare attendees to earn an industry-recognized NVIDIA certification in generative AI. We’ll focus on the following generative AI certification exams: Associate: Generative AI and LL Associate: Multimodal Generative NEW! Professional: Agentic NEW! Professional: Generative AI LL This deep-dive session will be packed with valuable preparation information. If you’re just learning about NVIDIA certifications and want to know more about the program, exam lineup, and what to expect, check out the resources section below to get started.",
      "startsAtUtc": "2025-10-07T15:45:00Z",
      "endsAtUtc": "2025-10-07T17:01:21Z",
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    },
    {
      "id": "5055396",
      "title": "Transforming Retail Content Creation: Unlock the Power of AI, 3D, and Digital Twins",
      "summary": "Join NVIDIA and GRIP for an exclusive webinar where retail and digital leaders will discover how cutting-edge AI, 3D automation, and digital twins are transforming global brands’ content production—speeding workflows, reducing costs, and creating stunning brand-accurate visuals.NVIDIA will share how its platform empowers retailers to stay ahead with scalable, generative AI solutions, while GRIP will demonstrate why brands must take charge of their technology stack, move beyond manual processes, and strategically deploy digital twins to maximize automation and efficiency in content creation.Learn practical, step-by-step strategies—from building digital twins for every SKU to automating standard and advanced imagery—and gain insights into managing the change process for the entire organization.LearningsIn this webinar, you'll learn:How AI and 3D content automation can revolutionize retail marketing for speed, cost, and brand consistency.Why taking ownership of your technology stack and implementing proper digital twins is essential to succeed with content automation.A proven, phased framework for rolling out content automation—from standard imagery \"quick wins\" to strategic, customized brand experiences.",
      "startsAtUtc": "2025-10-15T13:45:00Z",
      "endsAtUtc": "2025-10-15T14:52:27Z",
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    {
      "id": "5039775",
      "title": "Advancing User Density and Performance With NVIDIA Blackwell Platforms and NVIDIA vGPU 19.0",
      "summary": "Join us for a live webinar as the NVIDIA team explores the new features and enhancements in NVIDIA vGPU 19.0. This latest release harnesses the power of NVIDIA Blackwell platforms to accelerate a wide range of virtualized workloads for graphics and AI development with increased user density. Whether you're a seasoned user or new to NVIDIA vGPU solutions, this session will provide a comprehensive overview of the key updates and discuss how to maximize efficiency, productivity, and innovation with these advancements.",
      "startsAtUtc": "2025-08-27T14:45:00Z",
      "endsAtUtc": "2025-08-27T15:43:27Z",
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    {
      "id": "5034615",
      "title": "Omniverse 早わかりウェビナー",
      "summary": "NVIDIA Omniverse では XR 機能を使い、構築したデジタルツインを最新のVRヘッドセットを使い、リアルタイムでのコラボレーションと没入体験が可能です。このウェビナーでは Apple Vision Pro をどのように Omniverse に接続するか、実際の操作とデモの状況をご紹介します。合せてパートナー様から 企業向け Apple Vision Pro のご案内、XR 対応のデザインレビューソリューションをご紹介いただきます。ウェビナー概要：エヌビディア合同会社CloudXR と ActionGraphs を使用した Omniverse と Apple Vision Pro の接続と操作Apple Vision Pro を CloudXR 経由で Omniverse に接続するための開発環境のセットアップ方法を解説します。ActionGraph コンポーネント、OpenUSD のバリアント、Swift でのクライアント側メッセージングと UI について詳しく説明します。NVIDIA Purse Configurator サンプルを使用することで、さまざまなインタラクティブな Omniverse アプリケーションにも適用可能です。サイバネットシステム株式会社OpenGL キャプチャを用いた Omniverse 連携と XR ストリーミング活用例Omniverse は OpenUSD を核に多様な連携を可能にするが、企業で基幹 CAD として使われながら、未対応のソフトも存在する。当社では自社 VR ソフトウェアに採用しているキャプチャ技術を活用し USD 変換する汎用拡張ツールを開発。本セッションではそのコンテンツを活用した XR ストリーミング事例を紹介する。株式会社Too企業における Apple Vision Pro 導入の考慮ポイント企業における Apple Vision Pro 導入に向けて、Apple Financial Services（AFS）を活用した柔軟な調達方法をご紹介します。あわせて、管理・セキュリティの留意点や MDM による制限など、導入から運用管理までの実践的な検討ポイントを解説します。",
      "startsAtUtc": "2025-08-29T04:45:00Z",
      "endsAtUtc": "2025-08-29T06:01:02Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5034615",
      "thumbnailUrl": "https://orion.akamaized.net/event/50/34/61/5/rt/1/slide/slide/1_4E5B068B6C36434A1E3AC45DA055FE00.jpg"
    },
    {
      "id": "5014200",
      "title": "Acelere su startup con NVIDIA",
      "summary": "Sobre el Webinar Acelera tu startup. Este webinar exclusivo te muestra cómo obtener recursos técnicos de vanguardia, soporte de mercado y conexiones globales a través del programa NVIDIA Inception. Beneficios al participarBeneficios Clave: Cómo acceder a créditos en la nube, capacitación técnica y visibilidad de marketinCrecimiento Acelerado: Estrategias para reducir tu tiempo de desarrollo y escalar tu negocio más rápidInscripción Simple: El camino más directo para unirte al programa y maximizar sus ventajas.",
      "startsAtUtc": "2025-07-29T19:45:00Z",
      "endsAtUtc": "2025-07-29T20:58:16Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5014200",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/15/03/22/2/rt/webinarportaldefault_ePkK1.jpg"
    },
    {
      "id": "5008538",
      "title": "Accelerating Contact Center AI Workflows with NVIDIA AI Enterprise",
      "summary": "Transform Call Centers with Scalable, Finely-Tuned AI Agent SystemsContact centers are undergoing a massive transformation as they integrate advanced AI solutions to enhance user experience, reduce costs, and operate at scale. This webinar introduces a robust contact center AI solution developed by NVIDIA technologies. The solution combines state-of-the-art speech services, multi-turn RAG architectures, and finely tuned LLMs to deliver human-like interactions with high throughput and low latency.The NVIDIA AI Enterprise software platform consists of NVIDIA NIM™ microservices, NVIDIA NeMo, NVIDIA Dynamo, NVIDIA® TensorRT™ ecosystem, and other tools to simplify building, sharing, and deploying AI applications.In this webinar, you'll gain practical insights into designing, optimizing, and scaling AI-powered agentic workflows specifically for voice-based inquiries. Discover how the system transitions from traditional IVR to real-time AI conversations, integrates member data for personalization, and utilizes NVIDIA Riva, NeMo, and NIM for production-grade deployment and continuous learning.Register for this webinar and explore the benefits of NVIDIA AI for accelerated inference. Time will be available at the end of the webinar for Q&A.Who Should AttendAI/ML engineers, contact center technology leads, healthcare IT architects, and developers with experience in conversational AI and Python.PrerequisitesPython programming proficiencyUnderstanding of AI agents, LLMs, and speech processing interacting in CCAIFamiliarity with GPU computing and enterprise AI deploymentsLearningsIn this webinar, you'll gain a deep understanding of NVIDIA’s AI Enterprise stack and learn :Designing AI workflows to handle high-volume contact center calls with real-time ASR and TTS.Leveraging multi-turn RAG and embedded policy/member data to power accurate responses.Fine-tuning LLMs (e.g., Llama 3 8B) for healthcare-specific tone, empathy, and response fidelity.Understanding technical architecture for integrating AI modules into on-premise Cisco-based systems.Using NVIDIA Riva, NeMo Guardrails, and NIM for secure, scalable, low-latency deployment.Real-world metrics on latency, throughput, and accuracy improvements pre- and post-LLM finetuning.",
      "startsAtUtc": "2025-07-30T09:15:00Z",
      "endsAtUtc": "2025-07-30T11:06:28Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/5008538",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/15/10/77/9/rt/2022nvidiacorporatekeyvisualwallpaper1080p_oLMr2.jpg"
    },
    {
      "id": "4997496",
      "title": "Build AI Factories with NVIDIA RA and High-Performance Networking",
      "summary": "This webinar introduces NVIDIA’s Cloud Partner Reference Architecture (NCP RA) for scalable AI factories, covering key components such as east-west networking, converged Ethernet for storage I/O, and in-band management. We’ll also cover rail-optimized topologies, repeatable building blocks that scale to tens of thousands of nodes, and control plane strategies to support multi-tenancy.LearningsYou'll learn:Networking technologies in NVIDIA Cloud Partner Reference Architecture (NCP RA)Key components, compute, networks, storage and management in NCP RA Understand the importance of RA topologies in ensuring high performance, efficient operations, and availability",
      "startsAtUtc": "2025-07-31T05:45:00Z",
      "endsAtUtc": "2025-07-31T07:08:53Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4997496",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/15/10/78/0/rt/2022nvidiacorporatekeyvisualwallpaper1080p_avVLk.jpg"
    },
    {
      "id": "4997484",
      "title": "Enable AI Factories with Optimized Data Center Infrastructure",
      "summary": "This webinar focuses on the physical infrastructure required to deploy rack-scale compute systems, including floor planning, liquid cooling design, power delivery, and integration with building management systems - using NVIDIA NVL72 as a reference.LearningsYou'll learn:Optimized layouts with modular compute and network zonesLiquid cooling, Power delivery and redundancy strategiesIntegrated Building Management System (BMS) Understand the importance of RA topologies in ensuring high performance, efficient operations, and availability",
      "startsAtUtc": "2025-07-17T05:45:00Z",
      "endsAtUtc": "2025-07-17T07:05:17Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4997484",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/15/10/78/2/rt/2022nvidiacorporatekeyvisualwallpaper1080p_0tuwB.jpg"
    },
    {
      "id": "4995081",
      "title": "Fundamentos de Agentes de IA: Una Breve Introducción",
      "summary": "Sobre el Webinar Los agentes inteligentes están ganando protagonismo rápidamente, impulsados por frameworks innovadores, nuevos casos de uso y avances constantes en software que amplían los límites de lo posible. En este webinar, presentaremos los principios fundamentales de los agentes, discutiremos su creciente papel en aplicaciones modernas y compartiremos ideas prácticas para el desarrollo con estas tecnologías. Lo que aprenderás Principios básicos de los agentes inteligentes y su funcionamiento Aplicaciones actuales y emergentes en software moderno Principales frameworks de desarrollo, incluyendo Langflow y Crew AI, dos iniciativas brasileñas de código abierto Demostración en vivo de integración de un agente funcional con la plataforma NVIDIA NIM Quién debería participar Desarrolladores interesados en sistemas basados en agentes, innovación en software y uso práctico de frameworks de código abierto para la construcción de agentes inteligentes.",
      "startsAtUtc": "2025-07-09T19:45:00Z",
      "endsAtUtc": "2025-07-09T21:06:21Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4995081",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/14/75/83/1/rt/webinarportaldefault_Y2vtj.jpg"
    },
    {
      "id": "4994975",
      "title": "Fundamentos de Agentes de IA: Uma Breve Introdução",
      "summary": "Sobre o Webinar Agentes inteligentes estão ganhando destaque rapidamente, impulsionados por frameworks inovadores, novos casos de uso e avanços constantes em software que ampliam os limites do que é possível. Neste webinar, vamos apresentar os princípios fundamentais dos agentes, discutir seu papel crescente em aplicações modernas e compartilhar insights práticos para o desenvolvimento com essas tecnologias. O que você vai aprender Princípios básicos dos agentes inteligentes e seu funcionamento Aplicações atuais e emergentes em software moderno Principais frameworks de desenvolvimento, incluindo Langflow e Crew AI, duas iniciativas brasileiras open-source Demonstração ao vivo de integração de agente funcional com a plataforma NVIDIA NIM Quem deve participar Desenvolvedores interessados em sistemas baseados em agentes, inovação em software e uso prático de frameworks open-source para construção de agentes inteligentes.",
      "startsAtUtc": "2025-07-08T19:45:00Z",
      "endsAtUtc": "2025-07-08T21:05:33Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4994975",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/14/75/84/1/rt/webinarportaldefault_o2dvR.jpg"
    },
    {
      "id": "4986985",
      "title": "Connect With Experts Webinar: Multi-Node, Multi-GPU Computing With cuPyNumeric",
      "summary": "Join the cuPyNumeric team to learn how to scale your Python code to multi-node, multi-GPU clusters using the familiar NumPy API. This powerful library aims to provide a distributed and accelerated drop-in replacement for NumPy built on top of the Legate framework.",
      "startsAtUtc": "2025-06-24T16:45:00Z",
      "endsAtUtc": "2025-06-24T18:00:38Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4986985",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/14/52/97/3/rt/cudapromopackagecupynumeric1920x1080press35341151_9ydKC.png"
    },
    {
      "id": "4976643",
      "title": "Omniverse 早わかりウェビナー",
      "summary": "XRデバイスの進歩により、デジタルツインの没入体験が身近になりました。本ウェビナーでは 空間コンピューティングがどのように産業で利用できるか、Omniverse での AR/VR活用のメリット、接続できるデバイス、AI による3Dモデリング生成を パートナー様と共にご紹介します。ウェビナー概要：エヌビディア合同会社空間コンピューティングと XR、NVIDIA のチャレンジフォトリアル、AI、ストリーミングを柱にした NVIDIA の XR 新時代に向けた取り組みに加えて、工場デジタルツイン、デザインレビューなど Omniverse と XR の活用事例を解説します。AI と XR 対応がさらに強化された最新 Blackwell 世代 RTX PRO GPU も合わせてご紹介します。ソニーマーケティング株式会社「空間再現ディスプレイ」によって広がる Omniverse の可能性裸眼での立体視を実現したソニーの空間再現ディスプレイ。進化した27インチの大画面でクリアで色鮮やかに、まるでそこに実物があるかのような体験を実現します。今回は空間再現ディスプレイと、Omniverse連携に関してご紹介致します。 bestat株式会社デジタルツインを加速する、3Dモデル生成ソリューション、3D.Core のご紹介デジタルツイン構築に必要な3Dモデル生成と運用をより簡単に。軽量化されたOpenUSD データを自動生成する 3D.Coreをご紹介します。Omniverseと空間コンピューティングの活用をより便利にする最新ソリューションを是非ご検討ください。",
      "startsAtUtc": "2025-07-03T04:45:00Z",
      "endsAtUtc": "2025-07-03T05:59:43Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4976643",
      "thumbnailUrl": "https://orion.akamaized.net/event/49/76/64/3/rt/1/slide/slide/1_6E34F650807FDDC1FA6A7ABE12974734.jpg"
    },
    {
      "id": "4970327",
      "title": "NVIDIA AI Cloud ウェビナー",
      "summary": "世界中の企業や組織から、高度な AI モデルをトレーニングしデプロイするために、NVIDIAの最新アーキテクチャを短期間の柔軟なサブスクリプションで利用したいというニーズが数多く寄せられてきました。それらのご要望にお応えし、企業の AI 活用を支援するために、NVIDIA はオープンで高性能な AI トレーニング クラスターで構成したフルマネージドなクラウドサービス「 NVIDIA DGX Cloud 」のご提供を日本でも開始しました。DGX Cloud では、一般的なクラウドサービスのメリットを享受いただけるだけでなく、AI モデルを好みのプラットフォームにデプロイできます。さらにジョブのスケジューリングとワークロード管理のためのソフトウェアが統合されているため、GPU 使用率と ROI の最大化を実現できます。当ウェビナーでは、NVIDIA DGX Cloudの概要、具体的なメリットや機能、アクセス方法などを詳しくご説明します。",
      "startsAtUtc": "2025-06-27T04:45:00Z",
      "endsAtUtc": "2025-06-27T05:59:03Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4970327",
      "thumbnailUrl": "https://orion.akamaized.net/event/49/70/32/7/rt/1/slide/slide/1_01DE7DA7C7975462F26D032A0836BAF6.jpg"
    },
    {
      "id": "4950041",
      "title": "What's New with NVIDIA Certification",
      "summary": "Join this global webinar to learn how NVIDIA Certification can support your personal career or team goals. Hear from NVIDIA Certification experts and exam champions who helped design the exams, along with certified professionals—both individuals and enterprise leaders—who will share how certification has helped advance careers and drive business value. Wrap up the session with a live Q&A to have your questions answered in real time. This webinar will be delivered in two time zones (Americas and EMEA/India) on June 26. For attendees in China, we are also hosting a separate session in Simplified Chinese on May 15 at 7 p.m. CST. Contact the NVIDIA China team to register here.",
      "startsAtUtc": "2025-06-26T15:45:00Z",
      "endsAtUtc": "2025-06-26T17:00:22Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4950041",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/14/56/16/8/rt/nvtwebinar4017911400x300_FEelq.jpg"
    },
    {
      "id": "4949789",
      "title": "What's New with NVIDIA Certification",
      "summary": "Join this global webinar to learn how NVIDIA Certification can support your personal career or team goals. Hear from NVIDIA Certification experts and exam champions who helped design the exams, along with certified professionals—both individuals and enterprise leaders—who will share how certification has helped advance careers and drive business value. Wrap up the session with a live Q&A to have your questions answered in real time. This webinar will be delivered in two time zones (Americas and EMEA/India) on June 26. For attendees in China, we are also hosting a separate session in Simplified Chinese on May 15 at 7 p.m. CST. Contact the NVIDIA China team to register here.",
      "startsAtUtc": "2025-06-26T08:15:00Z",
      "endsAtUtc": "2025-06-26T09:32:59Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4949789",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/14/56/17/8/rt/nvtwebinar4017911400x300_jN5io.jpg"
    },
    {
      "id": "4939679",
      "title": "NVIDIA AI Platform ウェビナー",
      "summary": "AI はビジネスのあり方を根本から変えつつありますが、AI ワークロードが成長を続ける中、それに必要とされるコンピューティング能力も大幅に増加しており、企業は安全で信頼性が高く、効率性に優れたハイパフォーマンス コンピューティング、ストレージ、ネットワークを必要としています。そのようなニーズを最高レベルで満たすのが NVIDIA DGX プラットフォームです。エンタープライズ AI のためにゼロから設計された NVIDIA DGX は、先進的かつ統合化された AI 開発 & トレーニング ソリューションであり、 NVIDIA のソフトウェア、インフラストラクチャ、専門知識 が組み込まれており、あらゆる企業は AI によるビジネス価値創出を加速させることができます。当ウェビナーでは、3月に発表された最新モデルの詳細含めて、NVIDIA DGX プラットフォームの全貌をご紹介します。アジェンダ14:00〜14:30AI 構築に最適化された「NVIDIA DGX プラットフォーム」最新情報エヌビディア合同会社 鈴木 元哉 14:30〜14:50性能、革新性、専門性をもたらす DGX プラットフォーム技術詳細エヌビディア合同会社 佐々木 邦暢14:50〜15:00Q＆A",
      "startsAtUtc": "2025-05-30T04:45:00Z",
      "endsAtUtc": "2025-05-30T05:59:44Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4939679",
      "thumbnailUrl": "https://orion.akamaized.net/event/49/39/67/9/rt/1/slide/slide/1_73C572F430D17CA13C99F46BB2BFFECE.jpg"
    },
    {
      "id": "4936973",
      "title": "Unlock the Value of Content in Media",
      "summary": "Major studios, networks, and sports leagues have long used AI and machine learning in production, and now they’re establishing new AI councils and widely running POCs on the very latest tools and techniques.Generative AI, powered by NVIDIA’s transformer models and infrastructure, is revolutionizing the content lifecycle for media and broadcast companies. The top use cases—including operational process optimization, revenue workflow optimization, creative assistance, rights administration, and more—have the potential to create new revenue streams, deepen customer relationships, empower employees, and automate manual processes. In this discussion, Qvest and NVIDIA will demonstrate how to identify and implement tangible, practical applications of this technology to increase adoption, develop scalable POCs and shorten time-to-value. Join us on Tuesday, May 20 at 10 a.m. PT to learn how to deliver AI innovation with controls and better demonstrate ROI on pilots relative to what was promised.In this webinar, you’ll:Identify practical applications of generative AI in media and broadcast industries.See how to automate workflows to streamline internal operations and deliver more contextual advertising. Learn how to increase audience engagement with data-driven content personalization, behavioral analytics, and real-time feedback. Discover how white spacing and cost modeling can increase revenue generation opportunities and provide insight into business value, spend, and ROI.",
      "startsAtUtc": "2025-05-20T16:45:00Z",
      "endsAtUtc": "2025-05-20T17:43:07Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4936973",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/13/20/30/9/rt/qvestwebinar400x300_kUyJT.jpg"
    },
    {
      "id": "4909896",
      "title": "GTC 2025 フォローアップウェビナー",
      "summary": "3 月下旬に開催した NVIDIA 最大の AI カンファレンス「GTC 2025」では、アクセラレーテッド コンピューティング や AI、ロボティクスにおける画期的イノベーションを始め、AI エージェントに関する数多くの新技術やソリューションが発表されました。 当ウェビナーでは、これら GTC 2025 での主要な発表内容について、 NVIDIA 日本法人の専門家より改めて詳細に解説いたします。また、ソフトバンクグループ SB Intuitions 社、マクニカ社にもご登壇いただき、AI 技術を活用した国内の最新事例をご紹介します。 NVIDIA が創り出す AI エコシステムの未来とそれを支える技術に関する理解を深め、貴社のビジネスや取り組みの一助にしていただければ幸いです。 皆さまのご参加をお待ちしております。 【お問合せ】 NVIDIA イベント事務局 Email : GTC_Japan@nvidia.com",
      "startsAtUtc": "2025-04-18T03:45:00Z",
      "endsAtUtc": "2025-04-18T06:31:32Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4909896",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/12/89/51/3/rt/2022nvidiacorporatekeyvisualwallpaper1080p_jZ0Tj.jpg"
    },
    {
      "id": "4848151",
      "title": "Vision for All: Unlocking Video Analytics With AI Agents",
      "summary": "NVIDIA's groundbreaking AI blueprint enables developers and enterprises to create video analytics AI agents capable of understanding, searching, and summarizing videos. These interactive AI agents are being deployed in cities, factories, sports arenas, warehouses, and more—letting users make better decisions faster from richer insights and streamline operations.Customizing a video analytics AI agent to interact with domain-specific visual information is critical for producing accurate and reliable results for specialized use cases. Learn how to apply prompt engineering and fine-tune the VLMs powering these agents to boost productivity and solve your business needs.",
      "startsAtUtc": "2025-02-27T03:45:00Z",
      "endsAtUtc": "2025-02-27T05:01:14Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4848151",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/12/41/54/2/rt/metropolisandivavssburprintces25socialli600x338_5y8I9.png"
    },
    {
      "id": "4848132",
      "title": "Vision for All: Unlocking Video Analytics With AI Agents",
      "summary": "NVIDIA's groundbreaking AI blueprint enables developers and enterprises to create video analytics AI agents capable of understanding, searching, and summarizing videos. These interactive AI agents are being deployed in cities, factories, sports arenas, warehouses, and more—letting users make better decisions faster from richer insights and streamline operations.Customizing a video analytics AI agent to interact with domain-specific visual information is critical for producing accurate and reliable results for specialized use cases. Learn how to apply prompt engineering and fine-tune the VLMs powering these agents to boost productivity and solve your business needs.",
      "startsAtUtc": "2025-02-26T15:45:00Z",
      "endsAtUtc": "2025-02-26T17:02:06Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4848132",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/12/41/54/1/rt/metropolisandivavssburprintces25socialli600x338_gSuho.png"
    },
    {
      "id": "4844446",
      "title": "Omniverse  早わかりウェビナー",
      "summary": "デジタルツインを始めるにあたって、要となる技術やリソースとは？本ウェビナーでは、国内での Omniverse を活用したデジタルツイン導入を推進いただいているパートナー様と共に実現可能な産業デジタル化の手法を探ります。アジェンダ\"全体最適\" 待ったなしエヌビディア合同会社 エンタープライズ事業本部 シニア ビジネス デベロップメント マネージャー 中嶋 雅浩NVIDIA Cosmos、Mega Omniverse Blueprint の説明を通じ、工場のマネジメントにおける課題と解決について考えます。テクノプロが Omniverse!? ‐ エンジニアリング会社から見たOmniverse を活用するメリット、弊社のサービス -株式会社テクノプロ 技術戦略本部 COE室真栄里 和也 氏株式会社テクノプロ ソリューション事業本部 モビリティ統括部 モビリティソリューションセンター シミュレーション開発グループ日向 ゆり 氏弊グループは約26,000人のエンジニアを抱え、製造業のお客様内部で開発・請負の他、受託開発を行っている技術者集団です。その中でも、製造業のお客様を中心にモデルベース開発を始めとしたシミュレーション技術を用いた開発を支援してきたテクノプロ・デザイン社が、なぜOmniverseの開発を始めたのか？お客様の現場視点を持つ弊社が感じたOmniverse活用のメリットと弊社がご提供するサービスをご紹介させていただきます。カラーマネジメントによるOmniverseでの正しい色再現 AI学習画像の精度向上に活用する株式会社パーチ 代表取締役社長長尾 健作 氏現実世界の正しい「色と質感」を再現するカラーマネジメントというインフラについて紹介。Omniverseで用いることで、よりリアルな検討、マテリアル資産の長期流用、AI学習の精度向上、となる活用例を解説いたします。",
      "startsAtUtc": "2025-02-26T05:45:00Z",
      "endsAtUtc": "2025-02-26T07:29:34Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4844446",
      "thumbnailUrl": "https://orion.akamaized.net/event/48/44/44/6/rt/1/slide/slide/1_A51D9D846249578668D82B86EE02A60F.jpg"
    },
    {
      "id": "4841359",
      "title": "從開發到實現的捷徑：加速推動企業級生成式 AI",
      "summary": "為加速企業轉型，企業需要透過數位人類客服聊天機器人、檢索增強生成與藥物探索等典型生成式 AI 工作流程，幫助企業以前所未有的速度進行寫作、研究與實現想像，展現出無比的生產力。 NVIDIA 為了讓企業能夠輕鬆的在現實生活中大規模的執行開源基礎模型，開發 NVIDIA NIM 微服務以及 NVIDIA Blueprints 針對特定使用案例量身打造的生成式 AI 工作流程，透過預先訓練好的且可客製化的 AI 工作流程，幫助企業快速打造代理型 AI 應用。 參與本次線上研討會您將會瞭解：企業為轉型所面臨的生成式 AI 挑戰 NVIDIA Blueprints 為各種使用案例所打造的工作流程與如何使用",
      "startsAtUtc": "2025-02-25T01:45:00Z",
      "endsAtUtc": "2025-02-25T03:03:59Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4841359",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/17/00/18/8/rt/2022nvidiacorporatekeyvisualwallpaper1080p_GFn1d.jpg"
    },
    {
      "id": "4816827",
      "title": "Inside the RAPIDS-Accelerated Polars GPU Engine",
      "summary": "In this webinar we'll go behind the scenes of the new GPU engine to see how Polars' declarative API and query optimizer enable seamless GPU acceleration.",
      "startsAtUtc": "2025-01-28T08:45:00Z",
      "endsAtUtc": "2025-01-28T10:14:02Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4816827",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/12/33/02/1/rt/lightcorporateeyewebbanneroffsetsmp2x_DoSo5.jpg"
    },
    {
      "id": "4795323",
      "title": "Enhance Visual Understanding With Generative AI",
      "summary": "Join us to explore how generative AI, large language models (LLMs), vision language models (VLMs) and multimodal large language models (MLLMs) offer unprecedented capabilities. Understand the latest research in the field and get a glimpse into what’s coming next. You’ll also get a chance to hear direct from companies across industries as they share details about how they've built visual AI Agents to enable organizations to transform data into actionable insights at scale. They’ll demonstrate real-world applications and dive into the details on technical implementations. Then you’ll learn how you can fast-track development of your own visual AI agent with the latest NVIDIA Blueprint for video search and summarization. By attending the webinar, you'll:Learn directly from top researchers in vision and multimodal AI on the latest approachesHear about ongoing efforts to increase best practices in the responsible training and deployment of AI research systemsHear from different organizations on how they adopt the technologies to enable new business capabilities",
      "startsAtUtc": "2025-01-22T12:45:00Z",
      "endsAtUtc": "2025-01-22T15:14:47Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4795323",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/12/33/01/9/rt/Dark2023NVKV_X1JZC.png"
    },
    {
      "id": "4746960",
      "title": "Deploy Production-Grade AI at Scale With NVIDIA AI Enterprise",
      "summary": "Although the promise of AI to improve business operations and outcomes is starting to be realized, many organizations still struggle to implement AI solutions in production. The challenges of managing complex AI pipelines on GPU-accelerated infrastructure have held back adoption. NVIDIA AI Enterprise, the software platform for production AI, is designed to simplify this process, and this webinar will show you how by walking through an actual example of deploying a generative AI workflow, from prototyping to production at scale. By the end of this session, you’ll learn how to deploy AI microservices in your own infrastructure, whether on-prem or in the cloud, and how to manage a generative AI pipeline running on Kubernetes in production. In this webinar we will: Explore the NVIDIA API catalog of NVIDIA NIM microservices and determine what is required for deploying them to your own infrastructure Use tools such as NIM Operator to simplify the deployment of these containers as part of a whole generative AI pipeline Manage the deployment, including how to configure automatic scaling as well as service monitoring Compare the experience of doing this in an on-prem cluster and a cloud-managed Kubernetes services",
      "startsAtUtc": "2024-11-20T16:45:00Z",
      "endsAtUtc": "2024-11-20T17:52:05Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4746960",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/11/94/28/4/rt/genericportal_T7ePq.JPG"
    },
    {
      "id": "4737096",
      "title": "Data Insights Unleashed",
      "summary": "The integration of AI into traditional workflows and enterprise applications is blurring the lines between serial and parallel processing, requiring a new accelerated compute platform with a hybrid architecture that can seamlessly blend the flexibility and energy efficiency of the ARM CPU with the performance of the GPU. Join this webinar to hear from HEAVY.AI and Vultr on how the NVIDIA Grace Hopper™ Superchip’s converged memory architecture is accelerating a wide array of enterprise workloads for their customers, from database and analytics to LLM-powered agents, all while unlocking energy savings in the data center. In this webinar, you’ll learn:The benefits of the converged memory architecture of the NVIDIA GH200 SuperchipHow HEAVY.AI is leveraging NVIDIA GH200 to accelerate database query times, unlock new analytical insights, and deliver cost savings for its customersHow Vultr built out its NVIDIA GH200 cloud instances and how its customers are leveraging it to build LLM-powered digital agents",
      "startsAtUtc": "2024-10-31T16:45:00Z",
      "endsAtUtc": "2024-10-31T17:57:17Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4737096",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/11/63/74/5/rt/webinar_cut_myhqY.png"
    },
    {
      "id": "4724932",
      "title": "Jumpstart AI Development With Virtual Workstations",
      "summary": "The future is clear: Every company will be an AI company. AI will be used to generate new insights, transform business operations, and improve business outcomes. While many organizations realize the importance of AI and the heightened pace of data-driven innovations, developing AI applications can be challenging and resource constrained. By leveraging NVIDIA vGPU solutions, your virtual desktop infrastructure can quickly and efficiently become an AI platform to start your AI journey. Join this webinar to learn more about how to jump-start AI developments, best practices for setting up optimized virtual machines, and the toolkits that NVIDIA provides. By attending this webinar, you will: Get an overview of NVIDIA RTX Virtual Workstation for AI See generative AI workloads demos Learn how to use the AI Workstation Toolkits for AI practitioners and IT professionals Hear about best practices for sizing and deployments",
      "startsAtUtc": "2024-11-13T16:45:00Z",
      "endsAtUtc": "2024-11-13T17:51:31Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4724932",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/11/66/34/4/rt/vgpuwebinar219201080_nnFAn.jpg"
    },
    {
      "id": "4724829",
      "title": "Virtual Desktop in the Era of AI",
      "summary": "The rise of AI is transforming the way we work—from using chatbots to enhance productivity to automating meeting management via virtual assistants. As enterprises constantly build more resilient and higher-performing digital workspaces, they need to ensure their infrastructure will be future-proof for a remote workforce dependent on AI. Join this webinar, where NVIDIA will discuss how this AI revolution will change the remote work landscape and what to consider when equipping your data center to power the next generation of virtual desktops. By attending this webinar, you will: Learn about AI adoption and use cases in workspaces Hear about building an AI-ready data center for your remote workforce Explore virtual GPU solutions for AI-powered workloads Get your questions answered in a live Q&A session",
      "startsAtUtc": "2024-10-16T15:45:00Z",
      "endsAtUtc": "2024-10-16T17:00:31Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4724829",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/11/66/34/3/rt/vgpuwebinar1192010801_THluI.jpg"
    },
    {
      "id": "4716433",
      "title": "生成式 AI 的實踐之路：輕鬆推論與大規模部署",
      "summary": "隨著 AI 的蓬勃發展，各行各業都渴望透過導入生成式 AI 來提升組織的營運效能、增進生產力及強化客戶體驗等。真正能為企業帶來價值的關鍵在於 AI 模型的最後一哩路：推論。面對日益增長的需求，如何在確保資料安全與符合規定的同時實現創新與靈活性，已成為企業的首要任務。同時企業還需要一個簡化且經濟高效的方法，以協助內部大規模的部署 AI 應用推論。本場線上研討會我們將探討部署和擴展生成式 AI 時的關鍵因素，包含 AI 推論的關鍵作用。透過多個成功的真實案例，我們將歸納支援組織資料安全與符合規定的最佳實踐，以支援企業的創新與靈活性，解鎖大規模 AI 推論。參與本次線上研討會您將會瞭解：生成式 AI 部署到現實中的挑戰與解決方案優化 AI 推論的關鍵因素與技術NVIDIA 生成式 AI 資源與如何使用",
      "startsAtUtc": "2024-10-17T01:45:00Z",
      "endsAtUtc": "2024-10-17T03:01:53Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4716433",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/17/00/18/9/rt/2022nvidiacorporatekeyvisualwallpaper1080p_qi21u.jpg"
    },
    {
      "id": "4694570",
      "title": "Accelerating Python with GPUs",
      "summary": "There has been a huge rise in the use of graphics processing units for general purpose computing outside of purely visual applications. From accelerating scientific research simulations, to training artificial intelligences in an extensive range of fields, or analyzing medical images to predicting new proteins. This talk will look at Python-based software, tools, and frameworks that are available to help researchers and practitioners utilize the technology on NVIDIA GPU-based systems.Register now to see how to supercharge your applications with the power of NVIDIA GPUS. In this webinar, you'll learn:About available Python-based frameworks to accelerate your application How to use RAPIDS to accelerate pandas with zero code changeHow to take advantage of libraries such as cuDNN Ways to program directly for the hardware on the NVIDIA platform",
      "startsAtUtc": "2024-10-09T11:45:00Z",
      "endsAtUtc": "2024-10-09T12:58:18Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4694570",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/11/64/02/6/rt/Slide4BlankNVIDIASlide_XmsOF.PNG"
    },
    {
      "id": "4677558",
      "title": "Achieve World-Class Text Retrieval Accuracy for Production-Ready Generative AI",
      "summary": "Join us for an insightful webinar to learn how you can improve the accuracy and scalability of text retrieval for production-ready generative AI pipelines. With the newest available NVIDIA NeMo™ Retriever and NVIDIA NIM microservices, developers and IT practitioners can elevate enterprise data insights for several use cases.Built as an NVIDIA NIM, the NeMo Retriever microservices can be used together, or individually to complement community models, NVIDIA models, or your own custom models, and can be easily customized and deployed anywhere your enterprise data resides. Learn how to achieve the most accurate responses for text Q&A, and deploy wherever your enterprise data lives—cloud, data center, or hybrid.By joining this webinar, you’ll explore:What NVIDIA NeMo Retriever and NIM microservices are, and the applicable use cases.How to build enterprise-grade retrieval pipelines wherever your data lives.Real-world examples and performance benchmarks.How to get started quickly and seamlessly.Live Q&A.",
      "startsAtUtc": "2024-10-08T13:45:00Z",
      "endsAtUtc": "2024-10-08T14:58:27Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4677558",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/11/64/03/0/rt/Slide4BlankNVIDIASlide_Fda2S.PNG"
    },
    {
      "id": "4675747",
      "title": "Launch Your Career in AI",
      "summary": "Join us for a panel discussion to learn how to kick-start or accelerate your career in AI. Hear from our expert panelists as they outline the ever-evolving AI career paths, ways to gain valuable skills, what employers are looking for, and how to stand out from the crowd. You’ll also hear how our panelists forged their own AI careers, sharing actionable hints and tips along the way. This includes valuable advice on how to use cutting-edge tools and technologies in your AI projects. They’ll also point you to the resources, training and certifications that will supercharge your professional growth. Whether you’re a student, a recent graduate, or a seasoned professional, this webinar will provide you with valuable insights and inspiration for navigating your career in AI and other technologies. Register now to explore career paths and opportunities in AI. By joining this webinar, you’ll: Understand multiple career paths within AI Explore extracurricular training and resources Hear how to make yourself stand out to employers Get your questions answered",
      "startsAtUtc": "2024-09-26T13:45:00Z",
      "endsAtUtc": "2024-09-26T15:01:51Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4675747",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/11/64/03/1/rt/DarkSlide_NVLPf.png"
    },
    {
      "id": "4675555",
      "title": "Omniverse 早わかりウェビナー",
      "summary": "デジタルツインをどのように始めるか、進め方と必要なリソースとは？さらに AI とロボットのシミュレーションをどのように組み込むべきか、国内の先進事例をもとにその手法を学びます。本ウェビナーでは、国内での Omniverse を活用したデジタルツイン導入を推進いただいているパートナー様と共に実現可能な産業デジタル化の手法を探ります。アジェンダデジタルツイン開発に必要なステップエヌビディア合同会社 プロフェッショナル ビジュアライゼーション ビジネス デベロップメント マネージャー 高橋 想Omniverse上でのデジタルツイン開発を始める上で必要となるステップや開発に必要なリソースについて解説を致します。AIロボットシミュレーションを実現するデジタルツイン開発株式会社理経 執行役員 次世代事業開発部長 兼 経営企画室長石川 大樹 氏株式会社マクニカ クラビス カンパニー 技術統括部 技術第4部第1課広田 勇貴 氏本セッションでは、Omniverseを活用したAIロボットシミュレーション手法を紹介します。マクニカ倉庫のデジタルツイン化事例を基に、特徴的な機能とUSDを用いた最新の開発手法を解説します。OmniverseとROSで実現するロボット活用新時代東京工科大学 名誉教授田胡 和哉 氏AIやシミュレーション技術により、従来とは異なる場面でのロボット活用が可能になっています。ROSロボットの実例を通じ、Omniverse、Isaac、Jetsonを用いたロボットの実現と、産業における新しい活用方法について具体的に紹介します。",
      "startsAtUtc": "2024-09-03T05:45:00Z",
      "endsAtUtc": "2024-09-03T07:24:38Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4675555",
      "thumbnailUrl": "https://orion.akamaized.net/event/46/75/55/5/rt/1/slide/slide/1_05E35B0D69F33EC964FB85E2E54D1917.jpg"
    },
    {
      "id": "4636676",
      "title": "Next-Gen Analytics in Capital Markets: Trade Execution and Risk Management",
      "summary": "Learn how advances in high-performance computing and AI-enabled technology are revolutionizing financial services.",
      "startsAtUtc": "2024-07-23T15:45:00Z",
      "endsAtUtc": "2024-07-23T17:02:23Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4636676",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/10/92/62/3/rt/newsletterfinancewebinargenaicapitalmarkets600x338_3ZVmL.png"
    },
    {
      "id": "4617550",
      "title": "Omniverse 早わかりウェビナー",
      "summary": "工場デジタルツインの先にあるもの、それが仮想工場：バーチャルファクトリーです。生産ラインの計画、ロボットのシミュレーション、作業者のワークフロー、センサーの検証やIoT連携、さらには生成 AI の活用など、デジタル化が産業の効率化を更に推進します。本ウェビナーでは、国内での Omniverse を活用したデジタルツイン導入を推進いただいているパートナー様と共に実現可能な産業デジタル化の手法を探ります。アジェンダ仮想工場とは？最新事例とその手法エヌビディア合同会社 エンタープライズマーケティング シニアマネージャ 田中 秀明 / エンタープライズ事業本部 シニア ビジネス デベロップメント マネージャー 中嶋 雅浩生成 AI と OpenUSD、NVIDIA Omniverse は仮想工場の実現に向けたキーとなるソリューションです。最新事例と活用いただける資料をご紹介、さらにデジタルツイン構築の最初の関門であるデータ準備の実際をご案内します。Omniverseで仮想工場を実現する「CTC Omniverseデジタルツイン構築サービス」のご紹介伊藤忠テクノソリューションズ株式会社 エンタープライズビジネス企画本部 デジタルビジネス推進第 1 部 デジタルツイン推進課比留間 紀夫 氏設計や製造の過程でデジタル化された仮想空間の中でシミュレーションや検討を行いたいというニーズが多く聞かれるようになってきました。その中でNVIDIA Omniverse（以下 Omniverse）を検討されているお客様も多くいらっしゃると思います。 Omniverseは非常に多くの機能を備えたプラットフォームであることから、いざ利用しようとしてもどこから始めて良いのか、どう課題が解決できるのかという事がわからないという声も良くお聞きします。 CTCではそういったお客様向けにOmniverseの活用を伴奏型サービスとして「CTC Omniverse デジタルツイン構築サービス」をご提供させていただいております。本講演では過去の事例などを交えて、本サービスがどのように活用いただけるのかご紹介させていただきます。フィジカルと時空を超えた製品レビュー空間『3D-MeasureVerse』東京貿易テクノシステム株式会社 営業企画部 先行開発チーム チーフエンジニア 吉實 興二 氏精密な3D計測データをオムニバース空間(VR)に取り込み、実製品のレビューを他拠点間でリアリスティックに行える『3D-MeasureVerse』をご紹介いたします。",
      "startsAtUtc": "2024-06-26T05:45:00Z",
      "endsAtUtc": "2024-06-26T07:30:21Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4617550",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/10/82/91/3/rt/2022nvidiacorporatekeyvisualwallpaper1080p_hZILF.jpg"
    },
    {
      "id": "4612214",
      "title": "Essential Training and Tips to Accelerate Your Career in AI",
      "summary": "Join us for a panel discussion on fostering career growth and learning in the fields of AI and other advanced technologies. Our panelists will share their unique career journeys, valuable insights, and tips and tricks for success. Discover how certifications and additional learning resources have played a pivotal role in shaping the careers of our panelists. Gain valuable advice on leveraging NVIDIA technologies and resources to accelerate your own professional growth. Whether you’re a student, a recent graduate, or a seasoned professional, this webinar will provide you with valuable insights and inspiration for navigating your career in AI and other technologies. Don’t miss this opportunity to learn from industry experts and gain valuable career guidance. Register now to secure your spot and kickstart your journey. By joining this webinar, you’ll: Learn how to navigate your career in AI and other technologies Be able to Identify nontraditional career paths Explore extracurricular training and resources Understand the power of connections, LinkedIn, and certifications",
      "startsAtUtc": "2024-06-26T15:45:00Z",
      "endsAtUtc": "2024-06-26T17:01:50Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4612214",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/10/73/77/0/rt/herportalthumbwebinaressentialtrainingtips400x300_YMTCW.png"
    },
    {
      "id": "4598964",
      "title": "AI 時代のネットワーキング",
      "summary": "ネットワークは現代のデータセンターのバックボーンであり、 AI 時代の到来により新しいワークロードへの対応が必要になります。たとえば、 大規模な AI モデルをトレーニングし、膨大な量のデータを処理するには、増加するノードを拡張して処理するネットワークの能力が不可欠です。 NVIDIA は、AI ネットワーキングに、NVIDIA Spectrum™-X Ethernet と NVIDIA Quantum InfiniBand という 2 つのオプションを提供しています。本ウェビナーでは、データセンターの未来を形成し、AI 時代を促進する上で、ネットワーキング テクノロジーが果たす重要な役割についてご紹介します。ウェビナー概要：AI がデータセンター設計に与える影響と、基礎モデルのトレーニングや生成 AI の導入などの主要なワークロードに対応する新しい要件NVIDIA Spectrum-X が AI 用に設計された世界初のイーサネット プラットフォームであり、AI クラウドに必要なマルチテナント、トラフィック負荷分散や輻輳制御によって生成 AIパフォーマンスを向上させる仕組みNVIDIA Quantum InfiniBand が、AI ファクトリーに必要な低遅延、スケーラブルなパフォーマンス、およびネットワーク内コンピューティングなどの独自の機能をどのように提供するかNVIDIA のデータセンター及びネットワークにおける取り組みにご理解を深めていただくとともに、皆さまのビジネスの一助にしていただければ幸いです。ご多忙の折とは存じますが、ぜひご参加いただけますよう、皆様のご参加をお待ちしております。",
      "startsAtUtc": "2024-06-18T03:45:00Z",
      "endsAtUtc": "2024-06-18T05:30:15Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4598964",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/10/82/91/1/rt/2022nvidiacorporatekeyvisualwallpaper1080p_yvWz1.jpg"
    },
    {
      "id": "4596155",
      "title": "Deploying Generative AI in Production",
      "summary": "As organizations transition from generative AI experiments to deploying and scaling generative AI applications in production, the focus on production model deployment for inference—where AI delivers results—is growing. In addition to strategies that ensure data security and compliance while enabling flexibility and agility for innovation, enterprises need a streamlined, cost-effective approach to managing AI inference at scale. Join us for an engaging webinar where we'll explore key considerations for deploying and scaling generative AI in production, including the critical role of AI inference. Through real-world case studies highlighting successful enterprise deployments, we'll uncover best practices supporting enterprise data security and compliance, enabling developer innovation and agility, and unlocking AI inference for production applications at scale. Don't miss out on this opportunity to accelerate your enterprise journey to generative AI. By joining this webinar, you’ll explore:Challenges of and best practices for deploying generative AI to productionKey considerations and techniques for optimizing AI inferenceReal-world case studies of enterprise generative AI deploymentsResources and how to get started with NVIDIA software",
      "startsAtUtc": "2024-06-18T15:45:00Z",
      "endsAtUtc": "2024-06-18T16:51:44Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4596155",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/10/67/44/6/rt/enterpriseinference101webinarseries4xcontent400x300_fPZqi.png"
    },
    {
      "id": "4576231",
      "title": "Replay – GTC Korean AI Expert Day",
      "summary": "산호세에서 진행된 오프라인 행사에 아쉽게도 참석하지 못한 많은 분들을 위해 GTC 2024의 유일한 한국 세션이였던 \"Korean AI Expert Day\"를 다시 진행합니다. NVIDIA 전문가들이 직접 젠슨 황 CEO의 GTC 키노트의 내용을 요약 정리하고, 업계 내 AI 트렌드와 디지털 트윈 모범 사례들도 함께 공유할 예정입니다. 주요 아젠다:GTC 2024 키노트 핵심 정리 산업별 AI 디지털 트윈 우수 사례질의응답 (Q&A)",
      "startsAtUtc": "2024-05-29T04:45:00Z",
      "endsAtUtc": "2024-05-29T06:00:44Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4576231",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/10/82/91/0/rt/2022nvidiacorporatekeyvisualwallpaper1080p_rY1pz.jpg"
    },
    {
      "id": "4574688",
      "title": "Transforming Medical Workflows With AI: A Deep Dive into CLLMs",
      "summary": "Clinical Large Language Models (CLLMs) are now a tangible reality in healthcare. Beyond their application in medical tasks, like drafting discharge summaries, they offer significant potential for workflow optimization and business intelligence. At University Hospital Essen, these technologies are being developed and integrated directly into patient care.In this webinar you will learn about recent advancements in the application of CLLMs:CLUE: A new benchmark to assess the clinical language understanding of LLMsRAW: Retrieval augmented writing of clinical documents An advanced medical vision language model that excels in visual downstream tasksFLAME (Fast, Language-Agnostic Metrics Engine) to enable quick and efficient medical data querying for informed decision-makingLearn more about NVIDIA LLM and Generative AI Solutions or visit the Clinic’s page for more details.",
      "startsAtUtc": "2024-05-14T12:45:00Z",
      "endsAtUtc": "2024-05-14T14:00:44Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4574688",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/10/58/56/3/rt/Thumbnail_Image_ParabricksWebinarEMEA_wQWJG.jpg"
    },
    {
      "id": "4534006",
      "title": "GTC 2024 フォローアップウェビナー",
      "summary": "3 月 末に開催した NVIDIA 最大の AI カンファレンス「 GTC 2024」 では、アクセラレーテッド コンピューティング と 生成 AI を飛躍的に進化させる数多くの新技術やソリューション、そして次世代アーキテクチャー「Blackwell」を発表しました。当ウェビナーでは、これら GTC 2024 での主要な発表内容について、 NVIDIA日本法人の専門家より改めて詳細に解説いたします。また、マイクロソフト、アマゾンウェブサービス、デロイト トーマツ コンサルティング社にも登壇いただき、拡大するエコシステムがもたらすソリューションやビジネス価値もご紹介します。NVIDIA が創り出す未来とその実現を支える技術に関する理解を深め、皆さまのビジネスや取り組みの一助にしていただければ幸いです。皆さまのご参加をお待ちしております。【お問合せ】 NVIDIA セミナー事務局 Email : GTC_Japan@nvidia.com",
      "startsAtUtc": "2024-04-19T03:45:00Z",
      "endsAtUtc": "2024-04-19T06:33:04Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4534006",
      "thumbnailUrl": "https://orion.akamaized.net/event/45/34/00/6/rt/1/slide/slide/1_5C5EC4C394FC4BE83502C0084BEFF645.jpg"
    },
    {
      "id": "4488174",
      "title": "Generative AI for Quant Finance",
      "summary": "Learn how generative AI and large language models can be used in quantitative finance applications.",
      "startsAtUtc": "2024-02-15T16:45:00Z",
      "endsAtUtc": "2024-02-15T18:00:04Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4488174",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/99/64/80/rt/financeportalthumbwebinargenaiquantfinance400x300_zmLc3.jpg"
    },
    {
      "id": "4471554",
      "title": "Transforming Molecular Design",
      "summary": "Pharmaceutical researchers are continually on the quest for better, faster ways to design drugs, but juggling independently designed software and data sources has created a long-standing challenge. NVIDIA and OneAngstrom have collaborated to reduce this fragmentation. Join the discussion and see how molecular design is more accessible than ever before. In this webinar, you’ll learn how: Integrative molecular modeling results in streamlined, state-of-the-art workflows for scientists To access NVIDIA BioNeMo™ in just a few clicks to predict protein structures and dock libraries of ligands directly To combine BioNeMo with all other extensions available in SAMSON for modeling, simulation, analysis, visualization, scripting, and more Visit the BioNeMo page for more details.",
      "startsAtUtc": "2024-02-15T17:45:00Z",
      "endsAtUtc": "2024-02-15T18:57:20Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4471554",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/99/09/90/rt/hcportalthumbwebinaroneangstrom400x300_fXmGr.jpg"
    },
    {
      "id": "4455354",
      "title": "虛實並進 – 數位孿生革新製造規劃與效率",
      "summary": "在市場極具競爭的環境下，效率與良率成為增強製造業核心競爭力的關鍵。使得企業開始思考透過如數位孿生這項新興數位轉型技術，可以提高效率、降低成本、改進生產過程、並提供更優質的產品品質。數位孿生是一種強大的工具，顧名思義是將虛擬模型和實際工廠環境結合起來，透過虛實模擬、監控、分析及優化廠房與產線，強化工廠效率與靈活彈性，可以更好地應對市場變化和挑戰。 NVIDIA 強大的即時繪圖與模擬技術可以透過 NVIDIA Omniverse 與通用場景描述 (OpenUSD) 來實現，與業界知名 3D 模擬建模和分析工具 FlexSim 結合，能協助客戶根據客製化需求建立數位孿生協作平台，打破資訊孤島的限制，讓數位工廠的建立更有效率地完成。 本次線上研討會將分享此改變遊戲規則的解決方案，實現數位孿生在製造業和工廠生產作業中，創造巨大的潛在價值，可以協助企業更靈活、敏捷地應對市場變化，提高競爭力。 參與本次線上研討會您將能瞭解： 製造業及生產規劃創新技術趨勢與市場挑戰 全方位產業數位孿生技術與工具",
      "startsAtUtc": "2024-01-31T06:15:00Z",
      "endsAtUtc": "2024-01-31T07:42:28Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4455354",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/07/18/rt/2022nvidiacorporatekeyvisualwallpaper1080p_x9u92.jpg"
    },
    {
      "id": "4448722",
      "title": "Accelerate AI Cloud Computing",
      "summary": "The rising popularity of generative AI, showcased by applications like ChatGPT, is reshaping how industries will create their products, provide their services, and run their operations. Yet, almost every organization faces challenges when integrating AI. NVIDIA’s accelerated computing systems with NVIDIA BlueField-3 data processing units (DPUs) provide the optimal infrastructure to develop, deploy, and scale generative AI applications. Join our live webinar to explore the role of BlueField DPUs in accelerated cloud computing in the era of generative AI. Webinar attendees will understand the: Difference between generative AI infrastructure and general-purpose cloud infrastructure Features and capabilities of BlueField-3 DPUs and how they power NVIDIA AI infrastructure Benefits of incorporating BlueField-3 DPUs into AI servers, including improved performance, efficiency, and security in AI cloud data centers Discover more about NVIDIA BlueField-3 DPUs.",
      "startsAtUtc": "2024-02-01T15:45:00Z",
      "endsAtUtc": "2024-02-01T16:45:09Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4448722",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/09/48/rt/networkingsocialon24bannersforbdnswebinaron24wbbiv2400x300ud31_dFPnM.png"
    },
    {
      "id": "4440799",
      "title": "Building Intelligent AI Chatbots Using RAG",
      "summary": "To stay competitive in today's rapidly evolving tech landscape, integrating AI into business operations isn’t just a choice anymore—it’s become a necessity. Large language models (LLMs) have gained immense popularity, but they face challenges: They’re prone to hallucinations and have trouble understanding domain-specific topics. Retrieval-augmented generation (RAG) is a groundbreaking leap in AI technology that lets businesses leverage the power of domain-specific, real-time data like never before. By joining this webinar, you’ll learn: How chatbots, AI assistants, and copilots are transforming the way businesses operate The basics of retrieval-augmented generation as a powerful technique driving enterprise generative AI applications Key use cases that are being accelerated with AI-powered assistants Considerations for building safe, secure AI chatbots that stay on task",
      "startsAtUtc": "2024-01-17T08:15:00Z",
      "endsAtUtc": "2024-01-17T09:33:35Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4440799",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/07/23/rt/2022nvidiacorporatekeyvisualwallpaper1080p_kssTK.jpg"
    },
    {
      "id": "4419211",
      "title": "Accelerated Creative AI – Using NVIDIA-optimized image generation for Media and Entertainment",
      "summary": "Diffusion models have emerged as invaluable tools for modern-day Da Vinci’s, revolutionizing image generation by producing intricate, composable visual outputs. With a diverse array of over 100 diffusion models available, each possessing its unique stylistic prowess, creators can seamlessly choose a model and prompt it to generate their desired artwork. Given the computational intensity of diffusion models, they find a natural ally in GPUs, capitalizing on their processing power for enhanced performance. This enlightening session aims to delve into the art of optimizing the latest iteration of stable diffusion models, including SDXL-1.0, using the powerful capabilities of NVIDIA TensorRT. In the realm of image generation, achieving the desired output often necessitates multiple prompts. Moreover, in scenarios where numerous creators concurrently request multiple images, the imperative of optimizing comes to the forefront. By meticulously leveraging TensorRT's optimization techniques, attendees will witness a significant reduction in inference times for image generation in comparison to CPU-based execution and unoptimized models. Who should attend: A data scientist who is interested in developing and deploying large-scale SD models Designers (2D/3D, interior designers) with the ability to quickly produce artifacts In this webinar you will learn: Generating such realistic images requires a high level of computation, which explains the role of GPUs. Understand how GPUs can satisfy such compute requirements and generate images even more rapidly. Optimizing the existing models using Nvidia SDK so that it runs even faster on a single GPU or on hundreds of GPUs at once",
      "startsAtUtc": "2023-12-12T09:15:00Z",
      "endsAtUtc": "2023-12-12T10:25:17Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4419211",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/07/10/rt/2022nvidiacorporatekeyvisualwallpaper1080p_P38Dv.jpg"
    },
    {
      "id": "4403019",
      "title": "나만의 LLM 운영하기",
      "summary": "이 세션에서는 규모 있는 LLM 서비스를 운영하는 조직을 대상으로 자체 관리 중인 하드웨어 - 클라우드 또는 온프레미스에서 LLM 최적화 및 배포 과정을 통해 가시적인 효율성, 데이터 거버넌스, 비용 개선 효과를 얻을 수 있다는 점을 보여드립니다. 이 세션에서는 일반적으로 사용 가능한 하드웨어에서 실행할 수 있는 상용 라이센스가 있는 개방형 LLM에 대해 논의하고, 옵티마이저를 사용하여 지연 시간을 단축하고 처리량을 높여 컴퓨팅 요구 사항을 줄이는 방법을 보여드립니다. 참석자들은 비즈니스 요구사항에 맞게 자체 관리형 LLM을 확장할 수 있는 능력을 갖추게 됩니다. 더불어, 사용자가 LLM을 정의하고 멀티 노드 GPU에서 추론 최적화 TensorRT 엔진을 빌드할 수 있는 TensorRT-LLM의 최신 기술 업데이트를 함께 살펴봅니다. 세션 관련 사전 질문은 다음 링크를 통해 제출을 부탁드립니다. - https://forms.gle/mcNP5TKRVMTPh6pV7",
      "startsAtUtc": "2023-12-04T06:45:00Z",
      "endsAtUtc": "2023-12-04T08:05:01Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4403019",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/07/12/rt/2022nvidiacorporatekeyvisualwallpaper1080p_DvNKC.jpg"
    },
    {
      "id": "4403017",
      "title": "여러분의 활용 사례에 맞게 LLM 조정하기",
      "summary": "이번 세션에서는 LLM을 도메인별 애플리케이션에 맞게 튜닝하여 기성 API의 품질 한계를 뛰어넘을 수 있는 방법을 소개합니다. 데이터 세트를 준비하는 전략을 논의하고, 해당 데이터 세트에 대한 파인튜닝 방법을 비교하며, 파인튜닝이 NVIDIA 사용 사례에 미친 영향에 대한 예를 보여줄 것입니다. 참석자들은 API 기반 및 자체 관리형 LLM 모두에 적용할 수 있는 기술을 배우게 됩니다. 세션 관련 사전 질문은 다음 링크를 통해 제출을 부탁드립니다. - https://forms.gle/mcNP5TKRVMTPh6pV7",
      "startsAtUtc": "2023-12-04T05:45:00Z",
      "endsAtUtc": "2023-12-04T06:55:15Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4403017",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/07/13/rt/2022nvidiacorporatekeyvisualwallpaper1080p_MS64h.jpg"
    },
    {
      "id": "4398778",
      "title": "LLM ASAP: LLM으로 빠르게 개발하기",
      "summary": "이 세션에서는 특정 하드웨어나 모델 학습, 까다로운 배포 없이도 바로 사용할 수 있는 대중적인 LLM API를 사용해 실제 비즈니스 데이터에서 LLM 기반 시스템을 설계하고 구현하는 구체적인 방법을 소개합니다. 모델에 대한 효과적인 입력(\"프롬프트\")을 설계하는 기법과 비즈니스 데이터베이스를 포함한 다른 시스템과 LangChain과 같은 워크플로우 프레임워크를 통해 LLM을 활용하는 방법에 대해 논의할 것입니다. 참석자들은 실질적인 비즈니스 성과를 창출할 수 있는 LLM 시스템을 구축할 수 있는 실질적인 기술을 배우게 됩니다. 세션 관련 사전 질문은 다음 링크를 통해 제출을 부탁드립니다. - https://forms.gle/mcNP5TKRVMTPh6pV7",
      "startsAtUtc": "2023-12-04T04:45:00Z",
      "endsAtUtc": "2023-12-04T05:53:02Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4398778",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/07/14/rt/2022nvidiacorporatekeyvisualwallpaper1080p_sAAoA.jpg"
    },
    {
      "id": "4364543",
      "title": "vGPU ウェビナー シンクラ止めるの止めました - DX を牽引する新世代のシンクライアント",
      "summary": "これまで、シンクライアントの運用管理コストを低減したり、情報漏洩やマルウェア感染を防げたりといったメリットが注目され、多くの企業で導入されました。 しかし、従来のシンクライアント (VDI、SBC方式) は物理PCに比べて動作が遅く、高度なグラフィックアプリケーションや何窓も開いたWebブラウザに耐えられないという弱点がありました。 そこで、新たに脚光を浴びているのが『新(シン)・シンクライアント』です。 このソリューションは、セキュリティを担保しながら、ビッグデータを利用した計算やグラフィックス処理といった業務も実施できるのが特徴です。Web会議・動画再生・3D CAD・解析・映像制作・レンダリング・生成AI・デジタルツインといった、時代の最先端を行くアプリケーションにも対応しています。 謎のソリューション、『新(シン)・シンクライアント』の全貌とは？管理者やエンドユーザー、それぞれにとっての導入メリットとは？ 主な内容: 『新(シン)・シンクライアント』が広げる働き方の可能性 『新(シン)・シンクライアント』の導入メリット 【対 象】 AI やメタバースを活用したビジネスや研究開発にご関心のある企業、組織、教育機関の方々​ 【主 催】 エヌビディア 合同会社​ 【参加費】 無料 / 事前登録制​ 【お問合わせ】 NVIDIA セミナー事務局 Email : GTC_Japan@nvidia.com",
      "startsAtUtc": "2023-10-25T07:45:00Z",
      "endsAtUtc": "2023-10-25T09:03:27Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4364543",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/98/45/87/rt/2022nvidiacorporatekeyvisualwallpaper1080p_XxLlP.jpg"
    },
    {
      "id": "4362629",
      "title": "Building Generative AI Applications for Enterprise Demands",
      "summary": "In today’s rapidly evolving world, generative AI is paving the way to enterprise innovation and success. Join this upcoming webinar to explore the art and science behind building generative AI applications. We’ll guide AI teams through the intricacies of data acquisition, highlight the pivotal role of data curation, and unveil key insights for effective model training. Attendees will learn: How to build generative AI applications, from data acquisition to model deployment, including What AI teams need to know about data acquisition What data curation does and why it’s necessary Key concepts behind model training Sizing considerations for model training Varying levels of model customization, top use cases for each customization technique, and how a business should evaluate and determine its solution. Explore the NVIDIA generative AI platform and sign up for generative AI news from NVIDIA.",
      "startsAtUtc": "2023-11-09T05:45:00Z",
      "endsAtUtc": "2023-11-09T07:15:58Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4362629",
      "thumbnailUrl": "https://orion.akamaized.net/event/43/62/62/9/rt/1/slide/slide/1_C6DBF70568BAD00B05FB8813C1659512.jpg"
    },
    {
      "id": "4255631",
      "title": "Accelerating Gene Variant Detection With Deep Learning",
      "summary": "Dr. Tychele Turner, from the Washington University School of Medicine in St. Louis, will present her lab's development of a computational workflow, called HAT, to detect de novo variants from whole-exome and whole-genome sequencing datasets. She’ll detail the development of this hybrid CPU/GPU workflow and discuss the application to >6,000 parent-child sequenced families. Dr. Turner will also describe her lab’s utilization of GPUs in detecting variants from long-read sequencing data. Dr. Turner’s talk will focus on areas of particular utility of GPU-based acceleration of genomic tools, including her lab’s use of NVIDIA Parabricks®, a suite of GPU-accelerated and deep learning industry-standard genomics analysis tools for next-generation sequencing data. In this webinar you will: Understand what a de novo variant is and how it is detected from sequencing data Learn key uses of deep learning-based variant calling to detect de novo variants Identify key differences between short- and long-read sequencing Learn key uses of GPU-based acceleration to assess long-read sequencing data NVIDIA Parabricks is free for anyone. Download it today to try it out on your DNA and RNA data.",
      "startsAtUtc": "2023-07-17T15:45:00Z",
      "endsAtUtc": "2023-07-17T16:57:52Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4255631",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/86/90/15/rt/herportalthumbwebinarparabricks400x300_PTj9l.jpg"
    },
    {
      "id": "4213183",
      "title": "Accelerate Apache Spark Retail Workloads",
      "summary": "Apache Spark has become the leading framework for large-scale distributed data processing. Retailers are already using it for many core business functions, such as demand forecasting, price optimization, and sales performance analysis. Join the webinar “Improve Retail Business Outcomes With GPU-Accelerated Apache Spark” to learn how NVIDIA can help retailers run workloads 5X faster with up to 4X cost savings on leading platforms such as Google Cloud Dataproc, Amazon EMR, and Databricks. In this webinar you’ll learn: How NVIDIA technology accelerates Apache Spark—without code changes. How accelerated Spark enables leading retailers to transform their business by enabling workflows that were previously impossible. How to get started, including with an NVIDIA tool that estimates cost savings and the acceleration potential of Apache Spark workload",
      "startsAtUtc": "2023-05-23T15:45:00Z",
      "endsAtUtc": "2023-05-23T16:39:38Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4213183",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/85/37/04/rt/retailportalthumbwebinarsparkapache400x300_7xooD.jpg"
    },
    {
      "id": "4196334",
      "title": "How Telcos Transform Customer Experiences with Conversational AI",
      "summary": "Telcos are introducing speech AI-based applications such as agent assists, AI virtual assistants, and digital avatars to improve customer service, self-service, and satisfaction. But building highly scalable speech AI-based applications that learn from conversations, detect customer preferences, make personalized recommendations, and engage dynamically in real time isn’t easy. With NVIDIA® Riva, telcos can build accurate, real-time, conversational AI applications with customizable pipeline solutions that seamlessly integrate with telco service workflows. Join Infosys, Quantiphi, Talkmap, and NVIDIA to learn how telecommunications companies are using AI to improve operational efficiency and enhance customer engagement. By joining this webinar, you’ll learn: The state of the customer experience in telecommunications How Riva can enhance customer experiences in contact centers with Infosys, Quantiphi, and Talkmap solutions The future of speech AI in telecommunications Click here to register for part two of this webinar, Empowering Telco Contact Center Agents With Multi-Language Speech AI-Customized Agent Assists, a technical webinar with Quantiphi, Infosys, and NVIDIA on June 7.",
      "startsAtUtc": "2023-05-31T14:45:00Z",
      "endsAtUtc": "2023-05-31T16:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4196334",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/85/26/54/rt/speechaiprivatelconontechnicalwebinar400x300_wWIje.jpg"
    },
    {
      "id": "4194967",
      "title": "Empower Telco Contact Center Agents with Multi-Language Speech-AI-Customized Agent Assists",
      "summary": "When customers reach out to telco contact centers, they expect prompt and efficient solutions delivered in their native languages. But communication challenges and a lack of helpful information often result in a stressful, frustrating experience for customers and agents. To address this challenge, telecommunication companies are implementing innovative speech and translation AI to improve agent assist solutions in multiple languages, empowering their contact center agents to deliver the best possible personalized customer experience. Join this webinar, featuring demos by Infosys, Quantiphi, and NVIDIA conversational AI experts, to learn: How to kickstart your journey with NVIDIA® Riva’s cutting-edge speech and translation AI and fully customize it to achieve the highest-accuracy agent assist solution Best practices for seamlessly integrating speech and translation AI into agent assist solutions, ensuring smooth and effective customer-agent communication Real-world examples showcasing successful implementations of multi-language, speech AI-customized agent assist solutions in telco contact centers Click here to register for part one of this webinar, How Telcos Transform Customer Experiences With Conversational AI, a high-level session with Quantiphi, Infosys, TalkMap, and NVIDIA on May 31.",
      "startsAtUtc": "2023-06-07T14:45:00Z",
      "endsAtUtc": "2023-06-07T16:15:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4194967",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/85/31/92/rt/speechairivatelcotechnicalwebinarportal400x300_XHOQi.jpg"
    },
    {
      "id": "4192038",
      "title": "Performance Measurement of Robotics Applications with ros2_benchmark",
      "summary": "<!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--> Robots are real-time systems which require complex graphs of heterogeneous computation to run applications deterministically. The ros2_benchmark provides tools for measuring the throughput, latency, and compute utilization of these complex graphs. Learn how to run and customize ros2_benchmark to measure your robotics application graphs of nodes. <!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--> In this webinar we’ll cover: Introduction to ros2_benchmark Standard data for benchmarking using rosbag Running a ros2_benchmark Running an accelerated computing benchmark with Isaac ROS Creating a custom benchmark configuration",
      "startsAtUtc": "2023-05-04T14:45:00Z",
      "endsAtUtc": "2023-05-04T15:36:28Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4192038",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/84/84/89/rt/IsaacROS_Benchmark_Thumbnail_8zwwp.png"
    },
    {
      "id": "4162821",
      "title": "優化即時 3D 設計與模擬協助企業實現永續願景",
      "summary": "面對全球永續發展的趨勢，製造業的淨零碳排行動勢在必行。如何在設計流程中做碳足跡生命週期的評估，達到低碳設計製造的目標而使產品更具競爭優勢，是各大企業迫在眉睫要面對的。本次線上研討會將匯聚 NVIDIA 專業創新技術與達梭系統 3DEXPERIENCE® 平台，從人工智慧和虛擬實境到物理渲染、繪圖虛擬化與即時工程模擬等，協助製造業擺脫傳統產品開發工作流程，徹底改善設計團隊的協作方式。將透過逼真的模擬加快評估材料和產品的效能、可行性與可靠性，優化工程模擬與設計以加速實現淨零碳排的願景。 參與本次線上研討會您將能瞭解： 如何透過適當的工具與技術面對淨零碳排的挑戰 結合 NVIDIA 最新 RTX Ada 世代技術與達梭系統平台的綜合效益",
      "startsAtUtc": "2023-04-18T02:15:00Z",
      "endsAtUtc": "2023-04-18T03:39:05Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4162821",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/90/41/76/rt/2022nvidiacorporatekeyvisualwallpaper1080p_BHrzj.jpg"
    },
    {
      "id": "4153182",
      "title": "Demystifying Edge AI from Proof of Concept to Production",
      "summary": "<!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--> The promise of edge AI has many worthwhile benefits for your organization. Join NVIDIA and Lenovo to learn how we are enabling organizations to bring automation, efficiency and improved consumer experiences to their operations. While many organizations have edge computing strategies in place today, 75% of the edge AI projects in motion never make it to production. <!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--> In this session, we’ll look at: <!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--> • Key benefits driving growth of edge computing • Multi-Industry use cases for edge AI • How to build and complete your AI strategy with Lenovo from data center to the far edge • Tips for establishing a successful edge AI proof of concept",
      "startsAtUtc": "2023-04-05T15:45:00Z",
      "endsAtUtc": "2023-04-05T17:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4153182",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/84/12/01/rt/edgeaiportalthumbwebinardl23lenovo400x3002709519_1ftKN.png"
    },
    {
      "id": "4091679",
      "title": "Accelerating Low-Latency Market Data With NVIDIA A100X",
      "summary": "<!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--> In today's financial market, processing millions of packets per second at low latency gives organizations the ability to take decisive action at just the right time. Recent innovations in CUDA® and GPU architectures, along with NVIDIA DOCA™ and DPU processing, are making the concept of GPU-accelerated, low-latency applications a reality. Systems that are architected for low latency can exhibit spikes in latency when the consumer system's processing capability becomes saturated. GPUs provide new processing capabilities not previously exploited in these types of environments. Many financial Institutions like exchanges, hedge funds, or data providers can benefit from solutions that leverage NVIDIA networking and GPU technologies. Join our webinar to explore the hardware and software stacks that enable new workloads in this low-latency space. <!--td {border: 1px solid #cccccc;}br {mso-data-placement:same-cell;}--> By attending this webinar, you'll: Learn about financial use cases, such as market data ingest, that can benefit from NVIDIA DPU and GPU acceleration Understand the benefits and capabilities of new NVIDIA converged accelerator hardware Understand the role of software architectures, such as DOCA and CUDA, and components to build accelerated solutions",
      "startsAtUtc": "2023-02-22T15:45:00Z",
      "endsAtUtc": "2023-02-22T16:45:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4091679",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/81/87/02/rt/financeportalthumbwebinarmarketdataa100x400x300_V3Rxk.jpg"
    },
    {
      "id": "4089871",
      "title": "Want to drive innovation and speed up scientific workloads? It starts with the network.",
      "summary": "Complex workloads and extreme datasets are placing enormous demands on supercomputing infrastructures. In addition, cloud providers hosting scientific workloads require their infrastructures to deliver bare-metal performance. All of these complexities require a best-in-class networking platform, that’s programmable, and includes hardware acceleration engines to provide faster time to insight. Join Hyperion, NVIDIA and experts from Microsoft Azure, The Ohio State University and Max Planck Institute/Society for a live discussion on using InfiniBand, In-Network Computing and the capabilities of the DPU to boost performance and drive your scientific computing innovation. By attending this webinar, you will learn: How BlueField DPUs can offload communication frameworks and increase application performance How BlueField DPUs enable adaptive performance isolations, ensuring bare-metal performance for scientific workloads How the NVIDIA Quantum-2 InfiniBand networking platform empowers supercomputing and cloud data centers with advanced In-Network Computing acceleration engines, and the fastest speeds and feeds up to 400Gb/s",
      "startsAtUtc": "2023-02-14T08:45:00Z",
      "endsAtUtc": "2023-02-14T10:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4089871",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/82/14/10/rt/infinibandpromopackagekv2048x20482_HJqmi.jpg"
    },
    {
      "id": "4089852",
      "title": "Want to drive innovation and speed up scientific workloads? It starts with the network.",
      "summary": "Complex workloads and extreme datasets are placing enormous demands on supercomputing infrastructures. In addition, cloud providers hosting scientific workloads require their infrastructures to deliver bare-metal performance. All of these complexities require a best-in-class networking platform, that’s programmable, and includes hardware acceleration engines to provide faster time to insight. Join Hyperion Research, NVIDIA and experts from Microsoft Azure, Ohio State University and Max Planck Computing and Data Facility (MPCDF) for a live discussion on using InfiniBand, In-Network Computing and the capabilities of the DPU to boost performance and drive your scientific computing innovation. By attending this webinar, you will learn: How BlueField DPUs can offload communication frameworks and increase application performance How BlueField DPUs enable adaptive performance isolations, ensuring bare-metal performance for scientific workloads How the NVIDIA Quantum-2 InfiniBand networking platform empowers supercomputing and cloud data centers with advanced In-Network Computing acceleration engines, and the fastest speeds and feeds up to 400Gb/s",
      "startsAtUtc": "2023-02-08T16:45:00Z",
      "endsAtUtc": "2023-02-08T18:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4089852",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/82/14/13/rt/infinibandpromopackagekv2048x20482_XCvZ7.jpg"
    },
    {
      "id": "4051403",
      "title": "Transforming Transportation with the Metaverse and AI",
      "summary": "Software-defined vehicles are transforming business models and the customer experience. To support this fundamental shift, metaverse applications for virtual collaboration and digital twin creation are helping automotive companies redesign the development process from vehicle design and visualization, manufacturing, to the dealership experience, and autonomous driving. In this webinar, you will learn how: DRIVE Sim provides the digital twin environment to train, test, and validate autonomous driving systems NVIDIA Omniverse enables the development and operations of factory digital twins, harmonizes the flow of design data across the enterprise, and accelerates visualization for in-vehicle experiences, car configurators, and virtual showrooms",
      "startsAtUtc": "2023-01-20T01:45:00Z",
      "endsAtUtc": "2023-01-20T03:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4051403",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/80/85/17/rt/automotivedecwebinaremaithumb480x360_465Wo.jpg"
    },
    {
      "id": "4051388",
      "title": "Transforming Transportation with the Metaverse and AI",
      "summary": "Software-defined vehicles are transforming business models and the customer experience. To support this fundamental shift, metaverse applications for virtual collaboration and digital twin creation are helping automotive companies redesign the development process from vehicle design and visualization, manufacturing, to the dealership experience, and autonomous driving. In this webinar, you will learn how: DRIVE Sim provides the digital twin environment to train, test, and validate autonomous driving systems NVIDIA Omniverse enables the development and operations of factory digital twins, harmonizes the flow of design data across the enterprise, and accelerates visualization for in-vehicle experiences, car configurators, and virtual showrooms",
      "startsAtUtc": "2023-01-19T16:45:00Z",
      "endsAtUtc": "2023-01-19T18:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4051388",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/80/85/18/rt/automotivedecwebinaremaithumb480x360_weAzt.jpg"
    },
    {
      "id": "4049835",
      "title": "How to Boost Productivity and Accelerate Real-Time Design Collaboration",
      "summary": "To meet the demands of today’s architecture, engineering, construction, and operations (AECO) teams, firms now turn to virtual workstations to run resource-intensive applications and process large amounts of data. As one of the first NVIDIA virtual GPU (vGPU) customers, HFA, a leading architecture and engineering firm, has relied on NVIDIA vGPU technology to power demanding 3D design workflows while taking advantage of the IT and security benefits of virtualization. In this webinar, you will: Learn about HFA’s journey using NVIDIA technology, from an early-generation NVIDIA K1 to the latest NVIDIA A40 GPUs Explore how NVIDIA vGPU technology optimizes user experience and performance for graphics-intensive applications like Revit, Enscape, and SketchUp, as well as for productivity applications like Microsoft Office Learn how HFA enables its employees to work effectively on any device, from thin clients to workstations",
      "startsAtUtc": "2023-01-18T16:45:00Z",
      "endsAtUtc": "2023-01-18T18:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4049835",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/80/65/22/rt/MicrosoftTeamsimage_Mhn5A_4l3ZD.png"
    },
    {
      "id": "4042759",
      "title": "Solving Unstructured Data and Real-Time Analytics Challenges in Financial Services",
      "summary": "Financial organizations are facing an ever-increasing pressure to digitize and modernize their front, middle, and back offices. Solutions such as natural language processing (NLP) for environmental, social, and governance (ESG) activity, trading, fraud detection, document digitization, and speech AI enable companies to increase revenues, reduce operational costs, and enhance customer experiences. Financial institutions are looking at unstructured data to develop application workflows in these solution areas, and AI is key to this digital transformation. Red Hat and NVIDIA are working together to help clients build an AI platform that can accelerate key use cases and be deployed at scale both on premise and in hybrid clouds. By attending this webinar, you will learn: How you can use deep learning at scale to address key unstructured data and real-time analytics How you can leverage an AI platform built for training, transfer learning, and inferencing, from proof of concept to production About an AI-as-a-service (AIaaS) platform that can support both build-your-own and partner solutions securely in compliance with industry regulations",
      "startsAtUtc": "2022-12-14T15:45:00Z",
      "endsAtUtc": "2022-12-14T17:15:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4042759",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/80/55/74/rt/financeportalthumbwebinarunstructureddata400x3001_zcsQb.jpg"
    },
    {
      "id": "4041683",
      "title": "How to Build and Deploy an AI Voice-Enabled Virtual Assistant for Financial Services Contact Centers",
      "summary": "Financial services companies are under pressure to provide efficient, personalized 24/7 customer service while enhancing their customers’ experience. To address these demands, businesses are deploying intelligent virtual assistants in the form of voice-enabled digital agents that save time for customers and human agents by offering effective customer self-service and improving customer satisfaction scores. Building a highly scalable intelligent virtual assistant with state-of-the-art speech recognition that learns from conversations with customers, detects customer preferences, makes personalized recommendations, and engages with customers in real time and with an expressive voice is not an easy task. NVIDIA’s Intelligent Virtual Assistant reference application, built with NVIDIA Riva and available with NVIDIA AI Enterprise, provides a flexible, fully customizable solution that seamlessly integrates with financial service workflows. By joining this webinar with hands-on demos, you’ll learn how to: Build a simple but complete voice-enabled, microservice-based intelligent virtual assistant for customer/employee workflows at contact centers Customize speech recognition for your specific domain use case and speech synthesis for brand voice reflecting your company identity Deploy, scale, and monitor a fleet of intelligent virtual assistants on a cloud for efficient, high-quality, 24/7 service",
      "startsAtUtc": "2023-01-25T17:45:00Z",
      "endsAtUtc": "2023-01-25T19:15:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4041683",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/82/14/07/rt/speechaisocialrivalaunchpadlabtwli2048x10241_Vv8Wx.jpg"
    },
    {
      "id": "4004591",
      "title": "Migrating to the NVIDIA License System (NLS) before Legacy Server End-of-Life",
      "summary": "NVIDIA License System (NLS) is a licensing solution to support the continued expansion of the NVIDIA enterprise software portfolio. As the legacy NVIDIA vGPU license server will reach end-of-life on July 31, 2023 and is no longer supported with the release of vGPU 15.0. starting your NVIDIA vGPU license migration to NLS is highly recommended. Join this webinar to learn more about NLS and the migration process. In this webinar, we will cover: NLS solutions and how to select the best one for your use case Migration planning and best practices LIVE demos of the migration process Training and other resources Q&A",
      "startsAtUtc": "2022-11-30T16:45:00Z",
      "endsAtUtc": "2022-11-30T18:15:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/4004591",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/79/29/07/rt/Use_swoosh_trc0T.jpg"
    },
    {
      "id": "3939089",
      "title": "Bringing Drugs to Clinics Faster with NVIDIA Computing",
      "summary": "In the last decade, there have been dramatic advances in the field of computer-aided drug discovery. Researchers can now better understand causal biology, more effectively search through chemical space, and design de novo molecules that aim to treat disease. In this presentation, we will provide an inside look into: How Schrodinger uses NVIDIA-powered solutions to drive their in-silico drug discovery platform and recent NVIDIA optimizations to the Schrodinger suite. How organizations can easily implement the Schrodinger platform at scale, on premises, or in the cloud.",
      "startsAtUtc": "2022-10-25T14:45:00Z",
      "endsAtUtc": "2022-10-25T16:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3939089",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/78/67/55/rt/hcthumbwebinarschrodinger400x300_CTjmw.jpg"
    },
    {
      "id": "3930725",
      "title": "Accelerating Quantum Finance with NVIDIA cuQuantum and QODA",
      "summary": "Investment banks, hedge funds, and asset management firms face one of their greatest computing challenges when it comes to large-scale risk simulations and derivative pricing. Whether looking backward or forward in time to realized and unrealized price scenarios for their trade portfolios, they’re beginning to turn to the natural parallelism of quantum computing to solve computational finance problems. While the field of quantum computing shows great promise for solving a broad range of problems within financial services, these applications and algorithms will require thousands, if not millions, of qubits. With physical quantum computers of this scale and quality far off, quantum circuit simulation is the best and only way to scale up algorithm and application design in the interim. With NVIDIA GPUs and cuQuantum, you can accelerate quantum circuit simulation, enabling you to experiment with more qubits (and gate depth) faster than ever before, so you can prepare for tomorrow, today. By attending this webinar, you'll learn: The history of quantum computing and how it has impacted the financial engineering world Fundamentals of NVIDIA GPUs and where they shine for quantum computing simulation Specifics about the NVIDIA cuQuantum package for state vector and tensor networks How to develop quantum accelerated applications with QODA",
      "startsAtUtc": "2022-10-06T16:45:00Z",
      "endsAtUtc": "2022-10-06T18:00:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3930725",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/76/44/18/rt/fsiwebinarportalquantumfinancecuquantum400x300_bNbNA.jpg"
    },
    {
      "id": "3843565",
      "title": "Using GPUs to Accelerate HD Mapping and Location-Based Services",
      "summary": "Automotive OEMs, mapping companies, and ISVs are developing high-definition maps using an array of sensors to enable autonomous driving and open new business models. These companies are all working together to develop HD maps that will enable safe autonomous vehicle deployment and efficient transport of people and goods, creating new business models and services in mobility, delivery, and logistics markets. In this webinar, experts will provide an overview of how the new technologies, such as the NVIDIA RAPIDS set of GPU-accelerated libraries running on NVIDIA A100 GPUs, can help mapping and location-based service providers exponentially speed up their map-creation and location-based services workflows while reducing overall costs.",
      "startsAtUtc": "2022-07-21T00:45:00Z",
      "endsAtUtc": "2022-07-21T02:02:07Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3843565",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/75/14/56/rt/drivejuly20webinarthumbnail400x3001_9rDta.jpg"
    },
    {
      "id": "3843290",
      "title": "Using GPUs to Accelerate HD Mapping and Location-Based Services",
      "summary": "As the number of sensors in modern vehicles continues to grow, automotive OEMs, mapping companies, and ISVs are developing high-definition maps to enable autonomous driving and open new business models. Mapping companies, automotive OEMs, and ISVs are all working together to develop HD maps that will enable safe autonomous vehicle deployment and efficient transport of people and goods, creating new business models and services in mobility, delivery, and logistics markets. In this webinar, experts will provide an overview of how the new technologies, such as NVIDIA RAPIDS set of GPU-accelerated libraries running on NVIDIA A100 GPUs, can help mapping and location-based service providers exponentially speed up their map-creation and location-based services workflows while reducing overall costs.",
      "startsAtUtc": "2022-07-20T15:45:00Z",
      "endsAtUtc": "2022-07-20T17:07:11Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3843290",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/75/14/57/rt/drivejuly20webinarthumbnail400x3001_unsro.jpg"
    },
    {
      "id": "3798294",
      "title": "Enabling Impact at Scale with Conversational AI and Computer Vision",
      "summary": "Vision and conversational AI technologies are becoming ubiquitous, with countless applications taking advantage of object detection, image segmentation, action recognition, OCR, automatic speech recognition, natural language understanding, and speech synthesis coming to market. This webinar will present tools and technologies making the development of AI applications easier than ever. We will start with an overview of the conversational AI landscape, and how you can build and deploy accelerated applications with state-of-the-art models using RIVA and NeMo. Then we will present DeepStream, a complete streaming analytics toolkit for AI-based multi-sensor processing, video, audio and image understanding. Finally, we will also introduce the TAO toolkit and pre-trained models giving you a faster, easier way to accelerate training and quickly create highly accurate and performant, domain-specific AI models. By attending this webinar, you will: • Get started with speech and vision AIs • Learn Key components for building real-time AI applications • Train smarter with TAO Toolkit and finetuning",
      "startsAtUtc": "2022-06-28T06:45:00Z",
      "endsAtUtc": "2022-06-28T08:01:29Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3798294",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/76/94/73/rt/Updatedthumbnail_ricKU.png"
    },
    {
      "id": "3770771",
      "title": "Building and Running an End-to-End Machine Learning Workflow, 5x Faster",
      "summary": "Join this webinar to find out how performance-optimized AI software from the NVIDIA NGC™ catalog helps companies build ML-powered applications faster.",
      "startsAtUtc": "2022-05-26T12:45:00Z",
      "endsAtUtc": "2022-05-26T13:57:00Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3770771",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/72/03/54/rt/DLGenericImg04_DT8Tj.jpg"
    },
    {
      "id": "3765943",
      "title": "Choosing Hardware Systems for AI in the Enterprise",
      "summary": "AI Training and Inference applications have requirements that are unlike those of traditional business applications. Systems for training need to be carefully designed to maximize performance, and systems for Edge Inference have their own unique requirements due to their deployment location. By attending this webinar, you will learn how to configure servers for these workloads, and how NVIDIA makes it easy for enterprises to choose a full platform solution for these use cases. By attending this event you will learn: The hardware requirements of AI training and inference workloads How the NVIDIA-Certified Systems program offers enterprises an easy way to choose GPU-accelerated systems for AI The NVIDIA platform for Enterprise AI, and how to get started",
      "startsAtUtc": "2022-05-17T16:45:00Z",
      "endsAtUtc": "2022-05-17T17:37:21Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3765943",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/70/88/83/rt/nvcertifiedwebinarondemand400x300_j5shG.jpg"
    },
    {
      "id": "3746871",
      "title": "擘劃新時代的製造業產品設計與 AI 加值數位體驗",
      "summary": "迎向智慧科技時代，製造業該如何搭上數位轉型熱潮，即時因應並布局成為探討重點。在面對各種產品生命周期越來越短、產品的少量多樣性等「內憂」製造挑戰時，以及市場上各種新興科技 AI 智慧製造、Metaverse、數位孿生 (Digital Twins) 等「外患」衝擊時，企業應該如何穩住陣腳並突破當前的「內憂外患」以提高生產力與產業競爭力。 NVIDIA 聯手全球製造業電腦輔助設計 (CAD) 龍頭 PTC 期望透過完整且直觀的工具、AI 加值應用與數位體驗平台 Omniverse 三大面向提供製造業在產品設計、模擬與驗證等流程上的全新體驗。協助於您加速產品創新，進而更快地建構更多優秀的產品。 參與本次線上研討會您將會瞭解： 當製造業遇上數位轉型旅程之趨勢分析與各企業所面臨之挑戰 如何運用適當的工具與新興科技提供製造業產品設計、模擬與驗證最佳解方",
      "startsAtUtc": "2022-05-12T06:45:00Z",
      "endsAtUtc": "2022-05-12T08:02:29Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3746871",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/76/94/79/rt/Updatedthumbnail_aFc6q.png"
    },
    {
      "id": "3744351",
      "title": "Optimizing DNN Inference with NVIDIA TensorRT on DRIVE Orin",
      "summary": "NVIDIA DRIVE Orin has now entered production, delivering a major leap in deep neural network (DNN) inference performance. In this webinar, we will cover DNN architectural designs, as well as the scope of NVIDIA TensorRT and real-world use cases to deliver optimized inference engines for production. We will also demonstrate how to obtain deterministic results as needed in production. In this webinar, you will learn: The newest features of TensorRT 8 on NVIDIA DRIVE Orin How to optimize the performance of NVIDIA DRIVE Orin How to apply TensorRT 8 to state-of-the-art DNNs, improving throughput and latency",
      "startsAtUtc": "2022-06-09T00:45:00Z",
      "endsAtUtc": "2022-06-09T02:00:48Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3744351",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/70/88/85/rt/SDCGenericImg01_VHCc0.jpg"
    },
    {
      "id": "3744324",
      "title": "Optimizing DNN Inference with NVIDIA TensorRT on DRIVE Orin",
      "summary": "NVIDIA DRIVE Orin has now entered production, delivering a major leap in deep neural network (DNN) inference performance. In this webinar, we will cover DNN architectural designs, as well as the scope of NVIDIA TensorRT and real-world use cases to deliver optimized inference engines for production. We will also demonstrate how to obtain deterministic results as needed in production. In this webinar, you will learn: The newest features of TensorRT 8 on NVIDIA DRIVE Orin How to optimize the performance of NVIDIA DRIVE Orin How to apply TensorRT 8 to state-of-the-art DNNs, improving throughput and latency",
      "startsAtUtc": "2022-06-08T15:45:00Z",
      "endsAtUtc": "2022-06-08T17:00:22Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3744324",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/70/88/86/rt/SDCGenericImg01_ePxyM.jpg"
    },
    {
      "id": "3701022",
      "title": "高效智慧系統設計策略擊退 IC 系統設計挑戰",
      "summary": "隨著 AI 與 5G 興起，各國半導體晶片需求日益擴大，且對於晶片設計的要求與複雜性也無止境的增加：希望新晶片設計可以不斷增加閘極數量、極小化晶片尺寸以及大幅縮短上市時間等。此時電子設計自動化 (EDA) 在其中扮演越來越吃重的腳色。從系統架構設計開始、落實到功能的定義與實現，以及最終實現整個晶片的設計與驗證，若沒有 EDA 輔助，設計這樣複雜的電路並同時保證良率是很難達到的。 NVIDIA 作為全面整合的運算平台，與 Cadence 共同推動為積體電路設計 (IC design)、系統單晶片 (SoC) 以及印刷電路板 (PCB) 等提供完整的 EDA 工具，更以獨特的演算法利用大量高效運算 CPU 核數及 GPU 大幅減少求解時間。為台灣晶圓製程研發、製造與代工供應鏈提供最佳解，加快晶圓設計與驗證。 參與本次線上研討會您將會： 瞭解 IC 系統設計之現況與挑戰，並瞭解如何透過高效能運算 (HPC)、人工智慧 (AI) 及機器學習等技術解決此挑戰 認識 Cadence 專為晶片、PCB到電路板設計提供完整策略工具，透過 GPU 平行運算協助工程師加快產品設計與上市",
      "startsAtUtc": "2022-04-26T06:45:00Z",
      "endsAtUtc": "2022-04-26T08:04:07Z",
      "status": "on-demand",
      "canonicalUrl": "https://www.nvidia.com/en-us/about-nvidia/webinar-portal/#/webinar/3701022",
      "thumbnailUrl": "https://orion.akamaized.net/media/cv/video_library/client/25/37/3/rt/76/94/80/rt/Updatedthumbnail_vt9Nq.png"
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}