Connect With the Experts
Get answers to your most pressing questions from NVIDIA technology experts.
Want to learn how to get started building industrial facility digital twins with NVIDIA Omniverse™ libraries and OpenUSD? Join this interactive support session with NVIDIA technical product managers and solutions architects to get direct help and surface your questions, issues, and ideas specific to your use case.
Join this live Q&A session with some of NVIDIA’s own developers to demystify the process of building real-world NVIDIA® CUDA® applications. From using CUDA-accelerated libraries, profilers, and debugging tools to setting up CI pipelines, packaging, and builds, this session covers the entire development lifecycle. If you’re looking for practical guidance on integrating GPU acceleration into your software, this is the perfect opportunity to get answers and advice from engineers who develop and maintain CUDA software every day.
Join us to learn what goes into an AI factory. Hardware, software, networking, storage—nothing is off limits. Want to understand more about how NVIDIA RTX PRO™ can be used with NVIDIA Spectrum-X™ networking and Run:ai? Have questions about how NVIDIA Mission Control helps NVIDIA GB300 systems run jobs at peak efficiency? This is the place to be.
Next-generation AI robots need the ability to sense, plan, and act with full autonomy. A simulation-first approach is key to building robots that are adaptable and efficient, supporting rapid development of robust policies and smooth transfer to new tasks across robot embodiments. Connect with NVIDIA experts to learn how NVIDIA Isaac Sim™ and Isaac Lab can accelerate your robotics pipeline. Explore how to generate synthetic data, train advanced robot policies, and run software-in-the-loop testing to validate your entire stack and close the gap between simulation and real-world deployment.
Join this session to discuss how AI is driving key breakthroughs in quantum computing. From discovering new quantum algorithms with generative AI and building AI-based quantum error correction decoders, to enabling the low-latency integration of QPUs and AI supercomputing with NVIDIA NVQLink™, this session will show you how AI can accelerate your work. We’ll answer your questions about architecting hybrid workflows with NVIDIA CUDA-Q™ and show you how to use CUDA-Q Academic to prepare the next generation of experts to drive this convergence.
Enterprise developers are moving beyond text-based RAG to harness multimodal data—video, audio, and text. This Connect With the Experts session explores best practices for designing and optimizing multimodal agentic RAG systems. You’ll learn to combine speech recognition, visual understanding, and Large Language Models (LLMs) to enable context-rich, dynamic enterprise AI applications. The discussion covers real-world implementation, including vector indexing of multimodal embeddings, latency optimization for large-scale deployments, and fine-tuning for domain-specific retrieval. You’ll gain insights into integrating NVIDIA Nemotron™ models and cuVS-accelerated vector search to create unified RAG pipelines that reason across diverse data types. Engage with NVIDIA experts and fellow developers to exchange design patterns and best practices for powering next-generation enterprise intelligence.
Several experts from the tools development and management teams will be available to talk about getting started, best practices, and advanced techniques for application debugging and optimization with NVIDIA developer tools. You can ask questions about anything from high-level concepts to specific tools details and also discuss plans and suggestions for improving the tools in the future. We can provide a brief overview of the NVIDIA Nsight family of design, profiling, and debugging tools, including an introduction to the latest features and copilot integrations for developing CUDA compute, AI, and graphics applications on the newest platforms.
Join our experts for a candid, face-to-face discussion on the critical steps needed to take your AI agents from proof-of-concept to production. We'll go beyond the basics, diving into real-world challenges like building for scale, ensuring robust security, and maintaining performance in enterprise environments. This is your chance to get practical advice, ask your toughest questions, and learn what it takes to build agents that truly deliver value for the business.
This session will be an extension to the session led by NVIDIA Sr. Solution Architects Kristof De Brouwer and Nicola Bianchi titled "Mastering AI Infrastructure At Scale—a DevOps Playbook". This will be an opportunity for attendees to ask questions about their scaled AI deployments to our technical experts, explore deployment strategies in depth, and engage in discussions on optimizing NVIDIA AI infrastructure for their specific environments.
