Talks
CUDA: New Features and Beyond
Presented by one of the architects of NVIDIA CUDA, this engineering-focused talk will update you about what's new, and what's coming next, for both CUDA and GPU computing as a whole.
Talks
Turning Models Into Engines: The AI Factory Era
Built on open source foundations, security by design, sustainability at scale, and digital sovereignty, Mistral AI's approach helps unlock bare-metal GPU performance, build trusted, future-ready AI systems, and advance collaboration.
Talks
How to Build End-to-End Physical AI Systems for Humanoid Robots
In this session, experts will walk through practical, end-to-end workflows for physical AI development using NVIDIA Isaac and Omniverse technologies.
Tutorial
Best Practices for Building Agentic AI With Open Source Models
We'll walk through a practical decision guide for open models from picking the right-sized models based on the agentic tasks to software for customizing, evaluating, and deploying the models at scale.
Panel
Diffusion Unlocked: Advanced Techniques for Training, Inference, and Deployment
We'll dive into debating the concrete architectural trade-offs required for low latency and high throughput. This includes unique training challenges, new model architectures, inference and runtime optimization.
Talks
The Genesis of Accelerated Quantum Supercomputing: Unifying AI and Quantum
This talk outlines the singular mission required to deliver scientifically useful accelerated quantum supercomputers by 2028: the complete convergence of AI with quantum hardware, systems, and algorithms.
Panel
Future of Industrial Edge
The session will highlight challenges in deploying scalable, safety-critical edge AI and reveal how these global innovators are architecting their next-generation solutions using NVIDIA's accelerated computing.
Talks
Practical Context Engineering: Eliminate Bugs With High-Signal AI Code
This session explores how you can build the right context-engineering architecture that helps LLMs deliver high-signal AI code reviews.