The people who make NVIDIA, NVIDIA.

For co-founding NVIDIA in 1993 and steering it, across three decades as CEO, from a graphics startup into the company whose GPUs power the modern AI revolution.

For co-founding NVIDIA and, as a recognized authority on integrated-circuit design, helping define the core technologies that carried the company from a Denny's booth to the global leader in accelerated computing.

For co-founding NVIDIA and, as its first chief technical officer, architecting the early blueprint that let engineers design algorithms for NVIDIA's chips.

For leading NVIDIA Research since 2009 and for the interconnect, signaling, and parallel-machine work that underpins much of how large parallel computers are built today.

For writing the prototype that became cuDNN, the low-level library most deep-learning frameworks train on, and for helping bring DLSS and Megatron to life.

For leading the small team in 2004 that took the GPU beyond graphics and created CUDA, the platform that made general-purpose GPU computing real.

For steering NVIDIA's financial strategy through an era of extraordinary growth into one of the most valuable companies in history.

For guiding, since 2008, the large engineering teams that design NVIDIA's successive generations of GPU architectures at the heart of every product.

For helping found NVIDIA Research in 2006 and leading the graphics-research work at the intersection of AI and rendering that shapes how GPUs draw the world.

For leading the research teams whose inventions helped bring real-time path tracing and AI-driven graphics, including DLSS and the Slang shading language, into games and GPUs.

For leading the Deep Imagination group behind award-winning generative work like GauGAN and now the Cosmos world-foundation models for physical AI.

For building and leading NVIDIA's Toronto AI research and advancing 3D computer vision, robotics simulation, and spatial intelligence for content creation.

For leading NVIDIA's Learning and Perception Research across visual perception, geometric vision, and generative models that push computer vision forward.

For co-founding the GEAR Lab and driving foundation-model work for humanoid robots and embodied agents through projects like Voyager, Eureka, and GR00T.

For authoring the StyleGAN family of generative models and contributing to NVIDIA's RTX technology, shaping both modern image synthesis and real-time graphics.

For leading the teams that combined NVIDIA's rendering, physics, and AI into Omniverse, a platform for building and simulating physically accurate virtual worlds.

For the interconnect technology he co-created at Mellanox that now, as NVIDIA's CTO, helps scale AI computing beyond a single chip toward million-GPU clusters.

For leading NVIDIA's autonomous-vehicle research and advancing the analysis, design, and safe control of self-driving and future mobility systems.

For the Deep Compression and TinyML work that brought pruning, quantization, and weight sparsity into modern AI chips and edge devices.

For shaping NVIDIA's robotics and edge platforms, including Jetson, Isaac, and Metropolis, that bring AI into autonomous machines and the physical world.

For building NVIDIA's healthcare business since 2008, from establishing GPUs in medical imaging to today's AI platforms for drug discovery and life sciences.

For leading NVIDIA's software engineering since 2008, having joined in 1994, and building the deep software stack that makes the hardware sing.

For building and leading NVIDIA's worldwide sales, business development, and solution-engineering organizations that carry the platform to customers globally.

For running NVIDIA's silicon operations and supply chain, from foundry operations and capacity planning to logistics and quality, that turn designs into shipped products.

For pioneering the GPU-computing architectures behind consumer graphics and high-performance computing, and co-authoring the textbook that taught a generation to program parallel processors.

For partnering with Ian Buck to turn the Brook idea into CUDA, the parallel-computing architecture that opened the GPU to the world; remembered with gratitude.

For leading product for NVIDIA's foundation-model software stack, including NeMo and NIM microservices, that helps enterprises run generative and agentic AI efficiently.

For leading the DGX Systems effort that packages NVIDIA's AI supercomputing into systems enterprises can actually deploy and run.

For introducing recursive ray tracing in 1979, the foundational idea behind the real-time RTX rendering NVIDIA advances today, and for continuing that work at NVIDIA Research.

For leading machine-learning research at NVIDIA and inventing neural operators used to train the first AI-based high-resolution weather models.

For his technical leadership on NVIDIA's RTX ray-tracing hardware architecture and his work across the StyleGAN family of generative models.