Connect With the Experts at GTC Washington, D.C.

NVIDIA GTC Washington, D.C. is over, which means Connect With the Experts sessions are no longer available, as they aren’t recorded. But you can find hundreds of other on-demand sessions and trainings from the conference to watch at your convenience. Explore topics from physical AI and agentic AI to remote sensing, high-performance computing, and quantum computing.

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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 bring up your questions, issues, and ideas specific to your use case. Important: Connect With the Experts sessions let you meet with NVIDIA experts, in either a group or one-on-one setting, to get your questions answered on a first-come, first-served basis.

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As AI agents take on more complex work, developers need ways to make them reliable, adaptable, and ready for production. In this Connect With the Experts session, you’ll hear directly from NVIDIAns who build agent systems every day, move prototypes into production, work with frameworks like LangGraph and the NVIDIA NeMo Agent Toolkit, and customize open models, such as NVIDIA Nemotron. We’ll share what we’ve learned so you can pick up practical tips and get your questions answered by the people building these systems. Walk away with new strategies you can put to work right away on your next AI project.

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Ready to tackle one of the biggest challenges facing quantum computing? Join us for a deep dive into quantum error correction (QEC) with NVIDIA® CUDA-Q™. In this interactive session, we'll show how CUDA-Q’s libraries let you explore state-of-the-art QEC, including advanced AI decoders. We'll also demonstrate how it accelerates a wide range of research areas, including performing large-scale noisy simulations for data generation, using AI to improve hybrid algorithms, and speeding up simulations for device design. This is your opportunity to learn directly from NVIDIA quantum experts how to use the full power of the CUDA-Q platform and NVIDIA hardware to help accelerate the future of useful quantum computing.

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Bring your toughest GPU performance questions to the NVIDIA CUDA team. Find out how you can optimize, profile, and scale accelerated applications with CUDA Toolkit, Nsight, and CCCL. Also, learn best practices for using the NVIDIA ecosystem to maximize the performance of your workflow across GPUs.

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Visit us to discuss how to get started or deepen your understanding of NVIDIA tools that support vision AI applications. Our topic experts are offering one-on-one dialogue on topics related to training, fine-tuning, and deploying a range of vision AI models. Ask about NVIDIA Metropolis, vision language models (VLMs), foundation models, NVIDIA AI Blueprint for video search and summarization (VSS) reference workflows, DeepStream, TAO, and how to move forward with visual AI agents.

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Federated learning is especially transformative for healthcare, where patient privacy and data governance are critical. By enabling collaborative model training across hospitals and clinics without moving sensitive patient information, NVIDIA FLARE empowers medical researchers to build more accurate diagnostic tools, accelerate drug discovery, and personalize treatment using distributed data—all while staying compliant with privacy regulations. Confidential Computing on NVIDIA GPUs gives healthcare organizations confidence that patient records and intellectual property of the models are protected at every stage of AI development. Meet the experts on NVIDIA FLARE and join the conversation to explore how decentralized AI is shaping a new era of secure, data-driven healthcare innovation.

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Next-generation AI robots must sense, plan, and act autonomously. Adopting a "simulation-first" approach is essential for developing adaptable, efficient robots—enabling rapid creation of robust robot policies and seamless adaptation to new tasks across diverse robot types. Connect with NVIDIA experts to discover how NVIDIA Isaac Sim and Isaac Lab can accelerate your robotics workflows. You’ll also learn how to generate synthetic data, train robot policies, and perform software-in-the-loop testing to validate your robot stack and narrow the gap between simulation and real-world deployment.

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Ask NVIDIA experts how to scale Python from laptops to a GPU or multiple GPUs while keeping familiar array-programming workflows. Learn how to map common analytics, AI, and simulation patterns for more efficient GPU execution, and how to profile, debug, and interoperate with custom kernels when needed.

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Connect With the Experts at GTC Washington, D.C.

Build Industrial Digital Twins for the Era of Physical AI [CWEDC1203]

How To Build AI Agents With Open Models [CWEDC1263]

Learning Fault-Tolerant Quantum Computing With CUDA-Q [CWEDC1257]

Optimize and Profile GPU Applications With NVIDIA CUDA [CWEDC1256]

The Vision AI Toolbox [CWEDC1208]

Hardening Federated Learning in Healthcare: Protect Your Model’s IP With NVIDIA FLARE and Confidential Computing [CWEDC1228]

Build Smarter Robots With a Simulation-First Approach Using NVIDIA Isaac Sim and Isaac Lab [CWEDC1215]

Scale and Profile Python Workflows on GPUs [CWEDC1258]

Join us at the next NVIDIA GTC.

Get The Latest GTC News