NVIDIA

Dominant GPU computing platform powering the AI revolution.
NVIDIA
NVIDIA

COMPANY

1993

Date

Hardware & AI

Category

About the partner

NVIDIA Corporation is the defining company of the artificial intelligence era — the organization whose hardware innovations have done more than any other to make modern AI possible, practical, and scalable. Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem in Sunnyvale, California, NVIDIA began as a graphics chip company serving the gaming market. What Jensen Huang understood before almost anyone else was that the massively parallel architecture required to render complex 3D graphics in real time was also the ideal architecture for the matrix mathematics at the heart of neural network training — and that insight has made NVIDIA one of the most valuable and strategically important companies in the world. The NVIDIA GPU — particularly the data center-focused A100 and H100 families, and the latest Blackwell architecture — has become the essential compute substrate for training and running the large language models, generative AI systems, and scientific computing applications that define the frontier of modern technology. OpenAI, Google, Meta, Microsoft, Amazon, and virtually every major AI research organization in the world build and deploy their most advanced models on NVIDIA hardware. The CUDA software ecosystem — the programming framework that runs on NVIDIA GPUs — has created a moat that is simultaneously technical, commercial, and cultural, as hundreds of thousands of AI researchers and engineers have built careers and codebases around NVIDIA's platform. Beyond AI training, NVIDIA is aggressively expanding into AI inference, autonomous vehicles through its DRIVE platform, healthcare through Clara, industrial simulation through Omniverse, and networking through its acquisition of Mellanox — transforming from a chipmaker into a full-stack computing company. The company's data center business, which now dwarfs its gaming division in revenue, is growing at a pace that reflects the extraordinary and still-accelerating global demand for AI compute. For any organization building at the frontier of artificial intelligence, scientific computing, or autonomous systems, NVIDIA's hardware, software, and ecosystem are not a choice — they are the foundation.
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