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 GTC Paris. Each 50-minute session will give you a chance to get your questions answered and learn about the latest NVIDIA technologies and research in diverse areas, including generative AI, agentic AI, data center, robotics, data processing, accelerated computing, and more.
While large language models (LLMs) are remarkably powerful, their knowledge is typically limited to the data available up to a certain point in time. This makes their applications challenging when business contexts or cultural nuances are not well represented in their original training data. In many cases, in-context learning techniques such as retrieval-augmented generation (RAG) can help bridge this gap by providing models with relevant information at runtime. However, when a model lacks foundational understanding of domain-specific knowledge or local cultural context, even advanced retrieval methods may fail.
In this session, NVIDIA experts will explain how to enrich language models with new knowledge, expanding their capabilities in specialized business, engineering, or scientific domains and adjusting adaptation to new languages, cultures, and values.
In this interactive session, NVIDIA quantum software experts will share how to use CUDA-Q™ and cuQuantum to accelerate your quantum computing research, from simulating algorithms and processors to running hybrid quantum-classical workloads. Learn how to take full advantage of NVIDIA’s most powerful GPUs to explore the benefits of quantum computing, explore the CUDA-Q open-source platform for programming quantum processing units (QPUs), GPUs, and CPUs seamlessly, and see how the platform integrates with cuQuantum to accelerate application simulation. Discuss your ideas with the team and give us feedback on your experience using NVIDIA’s quantum computing software.
Learn how to get started building virtual facility digital twins with NVIDIA Omniverse™, generative AI models, and NIM™ microservices for OpenUSD. Join this interactive support session with Omniverse technical product managers and solutions architects to get direct help and surface your questions, issues, and ideas specific to your use case.
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 and simulations, and runtime deployment. Together, they provide developers with an end-to-end, accelerated, full-stack infrastructure, enabling 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.
Visit us and talk about how to get started or deepen your understanding of NVIDIA tools that support vision AI applications. Our topic experts are offering one-on-one discussions 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, NIM microservices, reference workflows, DeepStream, TAO, TensorRT™, Triton™ Inference Server, Jetson™, and more.