From Gaming GPUs to AI Empire
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From Gaming GPUs to AI Empire

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Sources

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  1. Nvidia was founded on April 5, 1993, by Jensen Huang, Chris Malachowsky and Curtis Priem to bring 3D graphics to gaming and multimedia markets.NVIDIA corporate timeline · 1993-04-05
  2. Huang has served as president, CEO and a board member since Nvidia's inception, having previously worked at LSI Logic and AMD.NVIDIA Newsroom (Jensen Huang bio)
  3. Nvidia says its 1999 invention of the GPU sparked the PC gaming market and 'ignited the era of modern AI'.NVIDIA Newsroom (Jensen Huang bio) · 1999
  4. Nvidia's defining early moment came in 1999 with the GeForce 256, described as the world's first graphics processing unit.Computer History Museum · 1999
  5. Nvidia announced CUDA in 2006, allowing its GPUs to be used for non-graphics applications; many observers were sceptical at the time.Understanding AI · 2024-11-05
  6. AlexNet, trained by Alex Krizhevsky and Ilya Sutskever on two Nvidia GTX 580 GPUs, won the 2012 ImageNet challenge by a large margin and kicked off the deep learning boom.Dive into Deep Learning (d2l.ai) · 2012
  7. AlexNet made Nvidia GPUs the industry standard for training neural networks; in 2012 the market valued Nvidia at less than $10 billion.Understanding AI · 2024-11-05
  8. In April 2016 Nvidia unveiled the DGX-1, billed as the world's first deep learning supercomputer, delivering the throughput of 250 x86 servers.NVIDIA Newsroom press release · 2016-04-05
  9. Jensen Huang hand-delivered the first DGX-1 to the then-nonprofit OpenAI in San Francisco in 2016, a system Nvidia says led to ChatGPT.NVIDIA Newsroom (DGX Spark announcement) · 2016
  10. OpenAI researcher Ilya Sutskever called the DGX-1 'a huge advance' that would let the lab explore previously unreachable problems.TOP500 · 2016 · medium confidence
  11. Nvidia's Q1 FY2024 (quarter ended April 30, 2023) revenue was $7.19 billion with then-record data centre revenue of $4.28 billion, and Huang framed the industry as undergoing simultaneous shifts to accelerated computing and generative AI.Nvidia 8-K filing, SEC EDGAR · 2023-05-24
  12. Nvidia's fiscal 2026 revenue was $215.9 billion, up 65% year over year, with Q4 revenue of $68.1 billion and Q4 data centre revenue of $62.3 billion.NVIDIA Newsroom (Q4/FY2026 results) · 2026-02-25
  13. For fiscal 2026 Nvidia's data centre revenue reached $193.7 billion, up 68% year over year.Data Center Dynamics · 2026-02-25
  14. In the quarter ended July 26, 2026 Nvidia reported revenue of $96.2 billion (up 106% year over year) and data centre revenue of $89.0 billion (up 117%), with gross margins of 75.0%.NVIDIA Investor Relations (Q2 FY2027 results) · 2026-08-26
  15. Nvidia guided to roughly $108.0 billion of revenue for the following quarter and said it assumes no data centre compute revenue from China in that outlook.NVIDIA Newsroom (Q2 FY2027 results) · 2026-08-26
  16. On October 29, 2025 Nvidia became the first company in history worth $5 trillion, closing at a $5.03 trillion market value, three months after passing $4 trillion and about two years after passing $1 trillion.NBC News · 2025-10-29
  17. At the $5 trillion mark Nvidia was worth more than the combined market values of AMD, Intel, Broadcom, TSMC, Micron, ASML, Lam Research, Qualcomm and Arm.NBC News · 2025-10-29
  18. At GTC Washington in October 2025 Huang said Nvidia had visibility into more than $500 billion in Blackwell and Rubin orders, calling it likely a first for a technology company.Fortune · 2025-10-29
  19. On September 22, 2025 Nvidia and OpenAI announced a letter of intent under which Nvidia intends to invest up to $100 billion in OpenAI as OpenAI deploys at least 10 gigawatts of Nvidia systems, with the first gigawatt on the Vera Rubin platform in the second half of 2026.NVIDIA Newsroom / OpenAI joint announcement · 2025-09-22
  20. Huang told CNBC the 10-gigawatt OpenAI project equates to roughly 4 million to 5 million GPUs, about what Nvidia would ship in that year and twice the prior year's volume.CNBC · 2025-09-22
  21. In August 2025 Nvidia's CFO said US officials expected the government to receive 15% of revenue from licensed H20 sales to China, but that no regulation codifying the requirement had been published.Yahoo Finance · 2025-08-27
  22. A surprise April 2025 US ban on H20 sales to China cost Nvidia $2.5 billion in lost sales and $4.5 billion in inventory charges in one quarter.Yahoo Finance · 2025-08-27 · medium confidence
  23. In December 2025 the Trump administration approved a framework letting Nvidia export H200 accelerators to Commerce-vetted Chinese customers, with 25% of the sales proceeds going to the US government.TechPowerUp · 2025-12-09 · medium confidence
  24. On September 3, 2026 Nvidia agreed to acquire open-source AI platform Hugging Face for $12.93 billion, its second-largest acquisition after roughly $20 billion for Groq assets in December and ahead of the ~$7 billion Mellanox deal in 2019.CNBC · 2026-09-03
  25. Nvidia said more than 18 million developers, researchers and creators use Hugging Face to share over 3 million models, and more than 200,000 companies use the platform.Yahoo Finance · 2026-09-03
  26. The Hugging Face price includes an equity-based retention program of up to $1 billion for employees joining Nvidia.Bloomberg · 2026-09-03
  27. In May 2026 Nvidia's board approved an additional $80.0 billion in share repurchase authorization and the company raised its quarterly dividend from $0.01 to $0.25 per share.NVIDIA Newsroom (Q1 FY2027 results) · 2026-05-27
  28. Independent analysts estimate Nvidia held roughly 73, 80% of AI accelerator revenue in 2026, with AMD's Instinct line and Google's TPUs (used by Anthropic and Meta) emerging as credible alternatives.ValueAdd VC analysis · 2026-08 · low confidence
  29. Nvidia's stock reached an all-time intraday high of $212.19 on Oct. 29, 2025, and the company retook a $5 trillion market cap in April 2026, roughly $1 trillion ahead of second-place Alphabet.Yahoo Finance · 2026-04-25 · medium confidence
  30. Announcing Q2 FY2027 results, Huang said 'AI has reached its inflection point' and that multiple frontier labs, an open-model ecosystem and physical AI were now driving the buildout, versus one lab a year earlier.NVIDIA Newsroom (Q2 FY2027 results) · 2026-08-26
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