Connect With the Experts at GTC 2025
Get answers to your most pressing questions from NVIDIA technology experts.
Connect With the Experts sessions are a unique opportunity to meet in person with the people behind NVIDIA products and research at an interactive area of the San Jose Convention Center.
Each 50-minute session will give you a chance to get your questions answered and learn about the latest NVIDIA technologies, including generative AI, agentic AI, data center, robotics, data processing, accelerated computing, and more.
A Selection of Session Topics
We'll provide a brief overview of the NVIDIA Nsight™ family of tools and debuggers. You’ll learn about the latest features for debugging, profiling, and optimizing NVIDIA® CUDA® compute and graphics applications on the newest platforms. 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’ll show you how to use CUDA-Q and cuQuantum to accelerate your quantum computing research, from simulating algorithms and processors to running hybrid quantum-classical workloads. In this interactive session, we'll discuss how to take full advantage of NVIDIA’s most powerful GPUs to explore the benefits of quantum computing. Join NVIDIA quantum software experts to learn more about the CUDA-Q open-source platform for seamlessly programming quantum processing units (QPUs), GPUs, and CPUs, and how it integrates with cuQuantum to accelerate applications simulation. Discuss your ideas with the team and give us feedback on your experience using NVIDIA’s quantum computing software.
Join NVIDIA experts to explore the field of digital health. Discuss how NVIDIA NIM™ microservices and blueprints empower developers, researchers, and enterprises to quickly create generative AI solutions in healthcare incorporating clinical documentation and agentic health workflows. Dive into the latest advancements in generative AI foundational models, learning about their applications in understanding, summarization, and how they intersect in real-world clinical applications. And engage directly with our product managers, developer relations, and solution architects in discussions that address your biggest challenges.
Real-time edge AI and robotic systems are transforming medical workflows and creating revolutionary devices that are advancing the standard of care for disease detection, diagnosis, and interventions. NVIDIA's platforms—MONAI, Holoscan, Isaac™, Omniverse™, and Metropolis—span model training, digital twins/simulations, and runtime deployment. Together, they give developers an end-to-end, accelerated, full-stack infrastructure that enables rapid prototyping and scalable development of real-time AI applications. Learn from NVIDIA experts on how our platforms can save you time and money in bringing AI-enabled systems to market—from smart diagnostic devices and innovative imaging systems to surgical robots trained using digital twin technologies.
Do you want to learn how to get started accelerating large language models and other state-of-the-art deep learning models? Join this interactive support session with the cuDNN engineering staff to get direct help and surface your questions, issues, and ideas specific to your use case.
Visit us to discuss ways 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, VLMs, foundation models, NIM microservices, reference workflows, DeepStream, TAO, TensorRT™, Triton™ Inference Server, Jetson™, and more.
Join NVIDIA experts to explore the field of digital biology. We’ll discuss the latest advancements in accelerated computing and foundation models for drug discovery and genomics—from bioinformatics tooling to protein structure prediction, molecular dynamics to molecular generation, and much more. Learn how NVIDIA BioNeMo™ and Parabricks, together with NVIDIA NIM microservices and blueprints, empower developers, researchers, and enterprises to quickly create generative AI solutions across chemistry, biology, and genomics. Engage directly with our product managers, developer relations, and solution architects in discussions that address your challenges and seek answers to your questions.
The IDC has predicted that by 2025, 80% of all data will be unstructured. Join us for an interactive session and learn how you can use GPUs to perform semantic search and data mining at scale on embeddings created from unstructured data. We'll dive into the cuVS library and provide an overview of the various databases and libraries that have integrated it to achieve state-of-the-art performance for building and searching vector indexes.
Did you know GPUs can reduce the cost of your Apache Spark workloads? Come join this session to find out how. Whether you’re new to Apache Spark or a long-time user, we're here to have a conversation about large-scale data processing, your production workloads, optimal configurations, and how to introduce GPUs to your environment. We can also answer questions about job qualification and tuning with GPUs. Get questions answered about potential performance gains, cost savings, or power usage reduction possible with GPU-accelerated Spark. Learn about the migration journey others have already undertaken.
Just as critical to the performance of AI model training, tail latency can negatively affect real-time AI inference, financial trading, and large-scale data analytics, where even microsecond delays can impact outcomes. The approach to zero-tail latency and accelerated networking with enhanced programmable I/O represent a paradigm shift in the performance and scalability of modern computing infrastructures. This session will open the discussion to dive into the significance of accelerated networking technologies in delivering zero-tail latency, ensuring that every data transfer meets demanding performance requirements.
