Co-founder, president, and CEO of NVIDIA
Jensen Huang
Jensen Huang is the co-founder, president, and CEO of NVIDIA, whose work spans graphics processors, accelerated computing, and generative AI.
About Jensen Huang
Jensen Huang co-founded NVIDIA in 1993 and has served as its president, CEO, and a board member since its founding. The company's work spans graphics processors, accelerated computing, and computing platforms for generative AI.
Before NVIDIA, Huang worked at LSI Logic and Advanced Micro Devices. He holds a bachelor's degree in electrical engineering from Oregon State University and a master's degree in electrical engineering from Stanford University.
Mentioned in our coverage
78 articles name Jensen Huang, excluding author credits.
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- BlackRock's Larry Fink: A Data Center Moratorium Means "We Will Be in a Recession" — What Is Claimed and What Is Not →
BlackRock CEO Larry Fink told CNBC on October 14, 2026 that a national moratorium on data centers would put the US in a recession. We separate the quote from the numbers, set it against the local moratoriums already passing, and explain what it means for people building on AI.
- NVIDIA Pledges $250M in Compute for UK Agentic AI Safety Research →
NVIDIA announced a five-year, $250 million compute commitment for UK agentic safety and security research, plus a roundup of UK deployments in healthcare, banking, smart cities and quantum. Here is what the post states and what we could not independently confirm.
- WTF Wasserstein-Tilted Flow Maps: Reward Fine-Tuning With Up to 280x Less Compute →
A NeurIPS 2026 spotlight from Oxford and Carnegie Mellon, WTF replaces the usual KL penalty with a transport cost and fine-tunes flow-map image models for reward without simulating rollouts. Social posts said 50 to 100 times faster; the paper says up to 280 times less compute. Code and checkpoints are out.
- CoreWeave Model Distillation: Train a Cheaper Specialist From Your Own Production Traffic →
CoreWeave is previewing Model Distillation inside Forge: collect examples from real product usage, train candidate specialist models on an open-weight base, compare them with your current model, and deploy gradually with rollback. Serverless SFT is billed at $2.70 per GPU-hour.
- Super Micro Contractor Pleads Guilty in $2.5B Nvidia Server Smuggling Case →
A contractor tied to Super Micro has pleaded guilty to four counts in the alleged $2.5 billion scheme to divert Nvidia-powered AI servers to China. explainx.ai walks through what he admitted, how the scheme worked, which details are still contested, and what it means for anyone buying GPU servers.