Headquarters
Santa Clara, CAFounded
1993CEO / Founder
Jensen HuangEmployees
10000+Funding
PublicStock
NVDAProducts
1 product listedAvg. AI Score
8.2/10Website
www.nvidia.comProfile updated
NVIDIA Corporation was founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem to build graphics processing units for personal computers. The company invented the modern GPU in 1999 with the GeForce 256 and has since expanded into data center accelerators (A100, H100, B100/B200), automotive (DRIVE platform), and AI software (CUDA, cuDNN, TensorRT, NeMo).
NVIDIA trades on NASDAQ under ticker NVDA and is one of the most valuable publicly-traded companies globally, with FY25 revenue exceeding $130 billion driven primarily by data center GPU demand for AI training and inference. Jensen Huang remains CEO and a major shareholder.
Headquartered in Santa Clara, California, NVIDIA employs over 30,000 people across offices and engineering centers worldwide. The NVIDIA Deep Learning Institute is the company's technical training arm offering courses and certifications.
Dated, source-cited figures. Estimates are marked.
All products by NVIDIA Corporation reviewed by our AI panel of experts.
Six independent reviewer personalities assessed NVIDIA Corporation's product on their own terms. They landed within 0.1 points of each other, an unusually strong consensus.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Who NVIDIA Corporation competes with, and how they differ.
AMD is NVIDIA's most direct rival in both gaming GPUs and data-center AI accelerators, shipping the Instinct MI300/MI350 series against NVIDIA's H100/H200/Blackwell lineup at typically lower list prices, though it trails NVIDIA in software ecosystem lock-in via CUDA.
Intel competes on the CPU side that pairs with NVIDIA GPUs in servers, and has pushed into AI accelerators with its Gaudi line and discrete GPUs (Arc), though its AI-accelerator market share remains far smaller than NVIDIA's.
Broadcom designs custom AI ASICs (e.g. Google's TPU, Meta's MTIA) for hyperscalers seeking an alternative to merchant NVIDIA GPUs, competing on total-cost-of-ownership for large training/inference clusters rather than on general-purpose programmability.
Google Cloud offers its own custom Tensor Processing Units (TPUs) as a first-party alternative to NVIDIA GPU instances for AI training and inference, reducing customer dependence on NVIDIA hardware within Google's own cloud.
2 products reviewed on TopReviewedAWS designs its own Trainium and Inferentia AI chips as lower-cost, in-house alternatives to NVIDIA GPU instances on its cloud, competing directly for large training and inference workloads run by AWS customers.
2 products reviewed on TopReviewedGroq built a custom LPU (Language Processing Unit) architecture specialized for low-latency LLM inference, competing with NVIDIA GPUs specifically on inference speed and price-per-token rather than training workloads.
1 product reviewed on TopReviewedKey milestones in NVIDIA Corporation's history, with sources.
Market cap tops $5 trillion, first company ever
NVIDIA closed above a $5 trillion market capitalization ($5.03 trillion), the first publicly traded company to do so, three months after crossing $4 trillion, driven by AI-chip demand and Blackwell sales guidance.
techcrunch.comMarket cap tops $4 trillion, first company ever
NVIDIA became the first publicly traded company to reach a $4 trillion market capitalization, extending its lead over Apple, Microsoft and Alphabet.
fool.comMarket cap surpasses $3 trillion, overtakes Apple
NVIDIA's market cap crossed $3 trillion intraday and closed at $3.019 trillion versus Apple's $2.99 trillion, making it the second-most valuable public company behind Microsoft; it completed a 10-for-1 stock split two days later.
cnbc.comMarket cap briefly tops $2 trillion
NVIDIA became the third U.S. company after Apple and Microsoft to briefly touch a $2 trillion market cap, following a blowout Q4 FY24 earnings report ($22.10B revenue, +265% YoY).
cnbc.comMarket cap crosses $1 trillion for the first time
NVIDIA became the first chipmaker to cross a $1 trillion market capitalization intraday, driven by AI enthusiasm following a blowout earnings report; shares closed valuing the company near $990 billion that day.
cnbc.comNVIDIA and SoftBank terminate $40B Arm acquisition
NVIDIA and SoftBank terminated NVIDIA's planned $40 billion acquisition of Arm Limited (announced September 13, 2020) after sustained opposition from the FTC, EU and UK competition regulators; SoftBank retained NVIDIA's $1.25 billion prepayment.
nvidianews.nvidia.comCompletes $7B acquisition of Mellanox Technologies
NVIDIA closed its acquisition of Israeli networking company Mellanox Technologies for a transaction value of $7 billion, its largest purchase to date, expanding into data-center interconnects.
nvidianews.nvidia.comAlexNet, trained on NVIDIA GPUs, wins ImageNet and sparks the deep-learning boom
AlexNet, a convolutional neural network trained on NVIDIA GPUs, won the ImageNet competition by a wide margin, a result widely credited with igniting the modern deep-learning era and NVIDIA's pivot toward AI computing.
nvidia.comLaunches CUDA, opening GPUs to general-purpose computing
NVIDIA introduced CUDA (Compute Unified Device Architecture) alongside the GeForce 8800 GTX, letting developers write general-purpose parallel code for GPUs beyond graphics -- the foundation of NVIDIA's later AI-computing business.
docs.nvidia.comLaunches GeForce 256, marketed as the world's first GPU
NVIDIA announced the GeForce 256, which it marketed as the first GPU (Graphics Processing Unit), a term NVIDIA coined; it shipped in October 1999 with hardware transform-and-lighting.
en.wikipedia.orgIPOs on Nasdaq
NVIDIA held its initial public offering on Nasdaq under ticker NVDA at $12 per share.
en.wikipedia.orgNVIDIA founded
NVIDIA was founded by Jensen Huang, Chris Malachowsky and Curtis Priem to bring 3D graphics to the gaming and multimedia markets.
nvidia.comBrowse multi-perspective AI panel reviews across hundreds of AI tools, agents, and platforms. Find the right software with insights from all six expert seats — Decision Maker, Domain Strategist, Finance Lead, Domain Practitioner, Power User, and Skeptic.