Explore featured sessions for the data center, networking, and virtualization.

NVIDIA’s accelerated computing platform speeds time to insight by delivering unprecedented acceleration across AI, data analytics and HPC, tackling the world’s toughest computing challenges.

GTC KEYNOTE

Jensen Huang | NVIDIA | Founder and CEO

Don’t miss the chance to hear Jensen Huang inform how the company is driving the rapid pace of technology advancements and new offerings to help solve the world's toughest challenges. The live keynote broadcast happens on November 9, at 9:00 a.m. Central European Time with a rebroadcast at 8:00 a.m. PST / 11:00 a.m. EST.

The keynote webcast will be open for everyone to watch (no registration required).

Featured Speakers

Kevin Deierling

5 Things CIOs Need to Know About DPUs

Kevin Deierling 
Senior Vice President of NetworkingNVIDIA

Julie Bernauer

Energy-Efficient Data Centers of the Future

Julie Bernauer
Director, Deep Learning Systems EngineeringNVIDIA

Manuvir Das

Simplifying AI in the Enterprise with Compute Virtualization and Container Orchestration

Manuvir Das 
Head of Enterprise Computing; SVP and General Manager, Cloud Platform BusinessNVIDIA

Jithin Jose

Sessions By Topic

Data Center

  • Meet the Data Center infrastructure Demands of Next-Gen Applications

    • Raj Yavatkar, CTO, Juniper

    Modern applications are driving unique requirements into the data center infrastructure. This has given rise to heterogeneous infrastructure that heavily leverage hardware accelerators in addition to CPUs.

  • Delivering Superhuman Language Understanding for Enterprise with DGX SuperPOD

    • Charlie Boyle, VP, GM DGX Systems, NVIDIA

    Businesses around the world are tapping into the power of NLP to deliver enhanced customer experiences that feel more natural and intuitive. They’re also mining oceans of data to find hidden insights buried in text, giving meaning to information in a fraction of the time taken by humans. 

  • Learn about the Latest Innovations in GPU-Accelerated Virtualization

    • Anne Hecht, Sr Director Product Marketing, GPU Virtualization, NVIDIA
    • John Fanelli, VP, Product, NVIDIA

    Join NVIDIA’s virtualization leadership team as they unveil the latest announcements for NVIDIA’s virtual GPU (vGPU) technology. Find out about the latest feature enhancements for NVIDIA vGPU software, powered by NVIDIA Ampere-architecture GPUs, which enable IT to deliver any workload--from VDI to AI--with performance on par with bare metal. Also, see how advances with NVIDIA vGPU technology make it easier than ever for IT to deploy modern graphics and compute intensive workloads in the data center.

  • Insights for Deep Learning Performance, Productivity, and Scale

    • Tony Paikeday, Senior Director of Product Marketing, Artificial Intelligence Systems, NVIDIA

    This talk brings together AI implementers who have deployed deep learning at scale using NVIDIA DGX systems. We'll focus on specific technical challenges they faced, solution design considerations, and best practices learned from implementing deep learning platforms.

Networking

  • Building the Next Generation of Cloud Infrastructures with the Power of DPUs

    • Yael Asseraf Shenhav, Vice President of Business Ethernet NIC and DPU, NVIDIA

    With the speed at which organizations are moving to the cloud, communication service providers need to continuously modernize their infrastructures to meet customer demands. Learn how European cloud computing leader OVHcloud has designed and deployed a revolutionary cloud platform that integrates NVIDIA data processing units to deliver new levels of scalability, flexibility, and performance. The new bare-metal infrastructure uses a specialized multi-host configuration that enables OVHcloud to innovate faster and bring differentiated cloud products and services to market, all while reducing costs.

  • Powering Unprecedented Data Center Transformation with DPUs

    • Itay Ozery, Director of Product Marketing, NVIDIA

    Cloud computing and AI are driving fundamental changes in the architecture of modern data centers. Just as GPU-accelerated solutions have transformed data science and AI, DPUs are now transforming the data center stack, so it can run the next wave of applications. This session will introduce the key pillars of this transformation journey and explore some of the prominent, real-world applications for DPUs today.

  • Programming the Data Center of the Future Today with NVIDIA DOCA

    • Ariel Kit, Director Product DPU, NVIDIA
    • Pete Lumbis, Director of Technical Marketing for DPU and DOCA, NVIDIA

    Data center builders and innovators are challenged to meet the increasing demands for scale and performance, all while protecting data confidentiality. To address these challenges, The NVIDIA DOCA framework provides a comprehensive SDK for programming the NVIDIA BlueField DPU and a runtime package of accelerated data center services. We’ll cover DOCA features and services for developers and IT operations.

  • Using a Digital Twin for the NaMeX Internet Exchange

    • Attila de Groot, Solutions Architect, NVIDIA
    • Flavio Luciani, CTO, NaMeX IT

    NaMeX used the NVIDIA Air platform to build a digital twin. They tested Cumulus Linux in the digital twin before going into production this year, and are continuing to use the concept to expand their network to a multi-tier, multi-site architecture. People will learn how to leverage NVIDIA Air to create a digital twin of their infrastructure and see how this is being used in a real world use-case.

Virtualization

  • Modernize Hybrid Workspaces with Accelerated VDI

    • Lee Bushen, Sr. Solutions Architect, Northern Europe, NVIDIA

    Flexible work has become a requirement as employees must be able to move freely from home to the office and remain productive. Find out how NVIDIA virtual PC (vPC) software combined with the latest NVIDIA A16 GPU provide the best possible user experience for today’s modern digital worker--enabling access to streaming video and video conferencing and multiple high-resolution displays to maximize efficiency. Learn about customers across many industries who have doubled their VDI user density and provided a superior experience for remote employees while simplifying the management of IT infrastructure. 

  • Making AI Accessible from Anywhere to Students, Faculty, and Researchers

    • Maurizio Davini, CTO, University of Pisa

    During the COVID-19 pandemic, University of Pisa was challenged to find solutions to add flexible computing resources for conducting research remotely. The increasing demand for AI deep learning and machine learning applications support required a redesign of the computing infrastructure to integrate virtualized resources with VMware vSphere and NVIDIA AI Enterprise, along with bare metal with the latest storage and network technologies. We'll detail the options evaluated by the university to make AI accessible to everyone from a composable, flexible, high-performance infrastructure.

  • Best Practices for Deploying AI Workloads on Virtualized Enterprise Infrastructure

    • Vinay Bagade, Performance Engineer, NVIDIA
    • Joe Cullen, Technical Marketing Engineer, NVIDIA

    Setting up an enterprise-grade AI software infrastructure is a complicated task for IT admins. This session will discuss how enterprises can benefit from NVIDIA AI Enterprise certified on vSphere. The speakers will guide the audience through an end-to-end training and inference workload using pre-trained models and Triton Inference Server, showing how these workloads auto-scale using Kubernetes and Tanzu depending on the user density and requirement. 

See data center, networking, and virtualization session highlights from the previous GTC. Get ready for what’s to come.

Find the complete GTC On-Demand playlist here.

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