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NVIDIA

NVIDIA

Computer Hardware Manufacturing

Santa Clara, CA 4,451,700 followers

About us

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Website
http://www.nvidia.com
Industry
Computer Hardware Manufacturing
Company size
10,001+ employees
Headquarters
Santa Clara, CA
Type
Public Company
Founded
1993
Specialties
GPU-accelerated computing, artificial intelligence, deep learning, virtual reality, gaming, self-driving cars, supercomputing, robotics, virtualization, parallel computing, professional graphics, and automotive technology

Locations

  • Primary

    2701 San Tomas Expressway

    Santa Clara, CA 95050, US

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  • No. 8, Ji Hu Rd.

    Taipei City, Taipei City 114, TW

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  • Nanakramguda, Serilingampally Mandal

    Plot # 6A&B, IT Park Layout, RR District

    Hyderabad, Telangana 500046, IN

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  • No. 127 Andheri Kurla Road

    CNB Square

    Mumbai, Village Chakala, Andheri East 400 093, IN

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  • Survey No. 144/145, Samrat Ashok Path

    Off Airport Road

    Pune, Yerwada 411 006, IN

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  • 2-11-7 Akasaka

    13th Floor

    Tokyo, Minato-ku 107-0052, JP

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Employees at NVIDIA

Updates

  • NVIDIA reposted this

    Very happy to announce we have used our NVIDIA H100 on Starcloud-1 to run inference with Google DeepMind's Gemma model - the open source version of Gemini. These are Gemma's first words in space. << Greetings, Earthlings! Or, as I prefer to think of you – a fascinating collection of blue and green. Let’s see what wonders this view of your world holds. I’m Gemma, and I’m here to observe, analyze, and perhaps, occasionally offer a slightly unsettlingly insightful commentary. Let’s begin!

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  • View organization page for NVIDIA

    4,451,700 followers

    Today we acquired SchedMD LLC, the leading developer and maintainer of Slurm, an open-source workload management system used by more than half of the world’s top 100 supercomputers. We will continue to develop and distribute Slurm as open-source, vendor-neutral software, widely available to and supported by the broader HPC and AI community. Together with SchedMD, we’ll accelerate support, training and innovation around Slurm so researchers, developers and enterprises can better manage large-scale AI and supercomputing workloads. Read the full blog for more details: https://nvda.ws/3KycSxT

  • View organization page for NVIDIA

    4,451,700 followers

    Artificial Analysis ranks Nemotron 3 Nano as the most open and efficient model in its class, achieving leading accuracy across coding, reasoning, and agentic benchmarks.

    View organization page for Artificial Analysis

    20,841 followers

    NVIDIA has just released Nemotron 3 Nano, a ~30B MoE model that scores 52 on the Artificial Analysis Intelligence Index with just ~3B active parameters Hybrid Mamba-Transformer architecture: Nemotron 3 Nano combines the hybrid Mamba-Transformer approach NVIDIA AI has used on previous Nemotron models with a moderate-sparsity MoE architecture, enabling highly efficient inference, particularly at longer sequence lengths Small-model improvements: with 31.6B total and 3.6B active parameters, Nemotron 3 Nano scores 52 on our Intelligence Index, in line with OpenAI’s gpt-oss-20b (high). This represents a +6 point lead on the similarly-sized Qwen3 30B A3B 2507 and +15 improvement on NVIDIA’s previous Nemotron Nano 9B V2 (a dense model) High openness: Nemotron 3 Nano follows other recent NVIDIA models in open licensing and releases of data and methodology for the community to use and replicate - it scores an 67 on the Artificial Analysis Openness Index, in line with previous Nemotron Nano models Key model details: ➤ 1 million token context window, with text only support ➤ Supports reasoning and non-reasoning modes ➤ Released under the NVIDIA Open Model License; the model is freely available for commercial use or training of derivative models ➤ On launch, the model is being made available with a range of serverless inference providers including Baseten, Deep Infra Inc., Fireworks AI, Together AI and FriendliAI, and it is available now on Hugging Face for local inference or self-deployment NVIDIA focused on efficiency as well as intelligence with Nemotron 3 Nano, and it presents an attractive trade-off between speed and capability. In pre-release testing of the DeepInfra serverless endpoint, we saw output speeds of ~380 tokens per second

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  • View organization page for NVIDIA

    4,451,700 followers

    Today we announced the NVIDIA Nemotron™ 3 family of open models, data, and libraries, offering a transparent and efficient foundation for building specialized agentic AI across industries. Nemotron 3 features a hybrid mixture-of-experts (MoE) architecture and new open Nemotron pretraining and post-training datasets, paired with NeMo™ Gym, an open-source reinforcement learning library that enables scalable, verifiable agent training. Read more: https://nvda.ws/3YkDl54

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  • View organization page for NVIDIA

    4,451,700 followers

    The AI industrial revolution is here, and it is being built on accelerated computing. This week in the NVIDIA Newsroom weekly: ➡️ 3 shifts powering the industrial revolution: the CPU-to-GPU flip, the scaling laws, and the move from generative to agentic to physical AI. ➡️ As AI gets more complex, model builders keep scaling on NVIDIA full-stack infrastructure. ➡️ In the news: NVIDIA CEO Jensen Huang recognized by TIME and the Financial Times. Read more in this week's newsletter.

  • View organization page for NVIDIA

    4,451,700 followers

    Proud to see our EVP and CFO Colette Kress named to Forbes’ 2025 The World’s Most Powerful Women list. 🎉 Her visionary leadership has been instrumental to NVIDIA's remarkable growth and continues to inspire the next generation of leaders across technology and beyond.

    View organization page for Forbes

    18,097,778 followers

    As executive vice president and chief financial officer of Nvidia, Colette Kress has helped oversee one of the greatest revenue growth stories in tech history: In its 2025 fiscal year, the chip making giant recorded $130.5 billion in revenue, more than double what it'd been just one year before. #PowerWomen https://lnkd.in/eBBdSZSZ Illustration: Oriana Fenwick for Forbes

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  • View organization page for NVIDIA

    4,451,700 followers

    Less hardware, more performance: NVIDIA and CoreWeave reached 410 trillion TEPS on Graph500 with a full-stack platform spanning CUDA, Spectrum‑X networking, NVIDIA Hopper GPUs, and a new active messaging library.

    View organization page for NVIDIA Data Center

    237,190 followers

    📣 We just redefined what's possible in graph processing. NVIDIA and CoreWeave delivered a record-breaking 410 trillion traversed edges per second (TEPS) on the Graph500 benchmark, ranking #1. Tapping into our full-stack compute, networking, and software technologies — including the NVIDIA #CUDA platform, Spectrum-X networking, #NVIDIAHopper GPUs and a new active messaging library — we're able to push the boundaries of performance while minimizing the hardware footprint. Read the blog now. ➡️ https://nvda.ws/44nFRep #HPC

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  • View organization page for NVIDIA

    4,451,700 followers

    Congratulations to our founder and CEO, Jensen Huang, on being named Financial Times Person of the Year. This recognition reflects decades of bold technology bets, a distinctive leadership style, and a culture he has built at NVIDIA that believes in tackling the world’s most complex computing problems.

    View organization page for Financial Times

    7,679,355 followers

    Chips were long the unloved stepchildren of the digital world. But this year, they have emerged as the impetus behind the AI mania that’s sweeping through the business and financial worlds. The FT has named Nvidia’s founder and chief executive Jensen Huang as its Person of the Year because of the role he has played in this transformation. https://on.ft.com/48K2Fq0

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Funding

NVIDIA 7 total rounds

Last Round

Grant

US$ 5.0M

Investors

ARPA-E
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