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
External link for NVIDIA
- 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
- PrimaryGet directions
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
Employees at NVIDIA
Updates
Our engineers are our greatest asset, and we’re committed to giving them the best tools on the planet. Seeing the immediate impact of Codex on our team's daily flow—from context management to token efficiency—is incredibly rewarding. Cheers toOpenAI for a stellar release.
NVIDIA is rolling out Codex company-wide to 30,000 engineers.We partnered closely with their team to deliver cloud-managed admin controls and US-only processing with fail-safes.Hear it from some of the folks at NVIDIA below:
NVIDIA reposted this
What’s next in robotics starts with physical AI. 🤖 By combining decades of machine data with AI, simulation, and digital twins, leaders likeAGIBOT,Franka Robotics,Caterpillar Inc., andPlusAI are scaling intelligent machines across industries and redefining what robots can do in the physical world. Watch the full video 📹https://nvda.ws/4rqtdEY
What's Next in Robotics?
NVIDIA reposted this
At#IndiaAIImpactSummit2026, we revealed how agentic AI is reshaping India's tech landscape.With NVIDIA AI Enterprise and Nemotron models, India's technology leaders includingInfosys,Persistent Systems,Tech Mahindra andWipro are accelerating productivity across industries — from call centers to telecommunications, healthcare and banking.📖 Read more:https://nvda.ws/3MuaER0
NVIDIA reposted this
🔒 We are heading to#S4x26 to help OT and ICS cybersecurity leaders put AI to work securing critical infrastructure. From a Legend Interview with Mark Weatherford (NVIDIA Head of Cybersecurity Policy and Strategy) to deep-dive sessions alongside partners like Palo Alto Networks, Forescout, and Siemens, the focus is on integrating AI-driven cybersecurity into real-world OT environments. Meet us in Miami at S4x26 and see how NVIDIA is helping secure the next generation of critical infrastructure.https://nvda.ws/4cA0s3S
India is establishing itself as a global AI powerhouse by building sovereign infrastructure from the ground up.By collaborating with NVIDIA to advance its $1 billion IndiaAI Mission, the nation is deploying tens of thousands of Blackwell GPUs and developing frontier models for 22 Indic languages.#IndiaAIImpactSummit2026📖 Read the blog:https://nvda.ws/4rTVhA6
India is entering a new age of industrialization. 👏India’s largest manufacturers are working with global service integrators includingTata Consultancy Services,Tata Consulting Engineers,Wipro PARI & industrial software leaders likeCadence,Siemens,Synopsys Inc.Together, we're advancing the nation’s AI boom using applications accelerated by NVIDIA CUDA-X andNVIDIA Omniverse libraries.🔗 Read the full#IndiaAIImpactSummit2026 blog:https://nvda.ws/3MMwiA0
Meta is deploying AI at scale through deep codesign across the full NVIDIA platform. This expanded partnership will enable the large-scale deployment of NVIDIA CPUs, millions of NVIDIA Blackwell, Rubin GPUs, and NVIDIA Spectrum-X Ethernet networking to drive peak efficiency for the next frontier of AI.➡️https://nvda.ws/4rUII7R
Jay Puri, EVP, Worldwide Field Operations, NVIDIA, will be joining NDTV and Startup Policy Forum in an exclusive fireside conversation onstage at#IndiaAIImpactSummit2026 in ITC Maurya, New Delhi on February 18, 11:30 am IST.Tune in live:https://lnkd.in/gWbuk6MZ
A Landmark AI Conversation. A Defining Moment.NDTV and Startup Policy Forum present an exclusive fireside conversation with Mr.Jay Puri, Executive Vice President, Worldwide Field Operations, NVIDIA.From AI as softwareTo AI as full-stack intelligenceFrom silicon to sovereign systemsFrom data to real-world deploymentThis is the story of AI’s evolution — and India’s place within it.As India rises as a global technology powerhouse — building world-class digital public infrastructure, catalysing deep-tech innovation, and advancing its semiconductor ambitions — this conversation captures a pivotal moment in the global AI race.#AIImpactSummit#NDTVIndAISummit#AI#IndiaAI#DigitalIndia#DigitalSovereignty#Semiconductors#Innovation#Leadership#AIInfrastructure#IndiaTech#StartupPolicyForumNVIDIA |Startup Policy Forum |Shweta Rajpal Kohli |India AI Impact Summit 2026 |Kavita Aroor |Rahul Kanwal
NVIDIA reposted this
The AI industry has evolved across multiple layers since its initial boom in 2022, and we are now witnessing a major shift toward agentic computing, driven by applications and wrappers built on frontier models. At the same time, for infrastructure providers like NVIDIA, having ample memory bandwidth and onboard performance has become increasingly critical to meet the latency demands of agentic frameworks. With Blackwell Ultra, Team Green appears to have addressed those needs. In a recent blog post, NVIDIA tested Blackwell Ultra using SemiAnalysis’s InferenceMAX, and the results were astonishing.The company has focused on both raw performance and throughput optimizations, which is why, with GB300 NVL72, NVIDIA sees a 50x increase in throughput per megawatt compared to Hopper GPUs.🔗https://lnkd.in/dc3_QqvC
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Santa Clara, CA
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Santa Clara, California
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Santa Clara, California
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Computer Hardware Manufacturing
Santa Clara, California
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Software Development
Santa Clara, California
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Desktop Computing Software Products
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San Jose, California
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Technology, Information and Internet
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Software Development
Santa Clara, CA
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