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NVIDIA

NVIDIA

Computer Hardware Manufacturing

Santa Clara, CA 5,101,053 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

    Get directions
  • 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

    Get directions
  • Survey No. 144/145, Samrat Ashok Path

    Off Airport Road

    Pune, Yerwada 411 006, IN

    Get directions
  • 2-11-7 Akasaka

    13th Floor

    Tokyo, Minato-ku 107-0052, JP

    Get directions

Employees at NVIDIA

Updates

  • View organization page for NVIDIA

    5,101,053 followers

    A little bit of GTC to carry home with you. GTC gear has a way of keeping the energy alive long after the event ends. Thanks to everyone who came through the store and to the whole GTC 2026 community for making it one to remember. 💚 What’s your favorite gear item? Let us know 👇

  • NVIDIA reposted this

    View organization page for NVIDIA Omniverse

    98,659 followers

    Manufacturing is at an inflection point. 🏭 At HANNOVER MESSE 2026 NVIDIA and industry leaders are demonstrating AI-driven manufacturing in action. Read the blog to see how leading companies like Siemens, Hexagon Robotics, PhysicsX, Tulip Interfaces, and more are advancing accelerated computing, AI physics, agents, and robotics to power industrial innovation. 🔗 https://nvda.ws/3OhfEJI

  • View organization page for NVIDIA

    5,101,053 followers

    At #AdobeSummit, Adobe Chairman and CEO Shantanu Narayen and NVIDIA CEO Jensen Huang sat down to discuss the next era of our partnership. We are moving beyond simple tools to a full-stack acceleration of enterprise creativity. Key integrations include: Generative AI Power: Deeper integration of NVIDIA OpenShell and Nemotron for custom, high-fidelity brand models. Industrial Digital Twins: Launching a cloud-native 3D solution to bridge the gap between design and physical reality. Together, NVIDIA and Adobe are providing the infrastructure for the world’s most ambitious brands to create at the speed of thought. 🔗 https://nvda.ws/4sPW3hM

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  • View organization page for NVIDIA

    5,101,053 followers

    Combining NVIDIA accelerated computing, Adobe Firefly and WPP’s expertise, we’re enabling agentic systems that deliver both speed and safety. ✅ Agentic workflows that handle multi-step content creation and production ✅ Secure, brand-aware generative AI built for enterprise use ✅ Systems that scale content while maintaining consistency and creative control Read to learn more about the foundation for next-gen media workflows: https://nvda.ws/4mCIOzu

    View organization page for WPP

    691,707 followers

    As the #AdobeSummit kicks off, WPP is proud to share the pioneering work from our expanded partnership with Adobe. Working with WPP Production's HEX Studio, our teams are building advanced AI toolkits to bring the next generation of agentic AI directly into creative work streams, utilising Adobe's Firefly Foundry and NVIDIA OpenShell. The result? Brands can ensure creative intelligence, performance and trust are integrated at scale. Learn more about our work with Adobe and NVIDIA 👉 https://ow.ly/TNi050YMLoV

  • View organization page for NVIDIA

    5,101,053 followers

    We’re entering a new era of engineering. 👏 Together with Cadence, NVIDIA is advancing agentic AI, physics-based simulation, and digital twins to help engineers design, test, and optimize systems at unprecedented speed and scale.

    View organization page for Cadence

    506,524 followers

    Cadence: Advancing Engineering for the Age of AI 🚀 At #CadenceLIVE 2026, Cadence announced groundbreaking advancements in engineering, powered by agentic AI, physics-based simulation, and digital twin technologies. With NVIDIA supporting our innovations, we’re delivering: ⚡️ Agentic engineering flows to redefine semiconductor design. ⚡️ Embedded agentic AI to design and deploy the intelligence behind physical AI systems. ⚡️ Digital twins critical to designing and operating efficient AI factories. By combining Cadence’s leadership in EDA, SDA, and agentic AI with NVIDIA’s accelerated computing and NVIDIA Omniverse libraries, we’re unlocking new levels of productivity and transforming engineering at agent speed. 💡 Learn how Cadence is shaping the future of engineering: 🔗 https://lnkd.in/gysRc8yz

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  • View organization page for NVIDIA

    5,101,053 followers

    🎙️ Want a full breakdown on why cost per token is a key metric for AI infrastructure TCO? We’re operating in a power-constrained world. Demand for intelligence is scaling faster than infrastructure can keep up—so metrics like cost per GPU hour or FLOPs per dollar don’t tell the full story. When it comes to TCO, Cost per Token is the metric that captures end-to-end performance across GPUs, CPUs, networking, software, and ecosystem making it the key driver of real profitability and scalability in AI. If you’re not measuring efficiency at the token level, you’re missing what actually drives cost. Watch the deep-dive conversation with Gerro Prinsloo, Nader Khalil, and Carter Abdallah, live on the NVIDIA YouTube channel. 🔗 https://nvda.ws/41GweFP

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Funding

NVIDIA 7 total rounds

Last Round

Grant

US$ 5.0M

Investors

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