Our CEO Jensen Huang joined Y.L. Wang, TSMC vice president of operations, and Ray Chuang, CEO of TSMC Arizona, in Phoenix today to celebrate the first NVIDIA Blackwell wafer produced in the United States. This achievement marks a huge step forward in paving the way for sustained American leadership in AI. Onshoring world-class chipmaking to American soil is crucial to meeting the growing demand for AI. Within the next four years, NVIDIA plans to produce up to one-half-trillion dollars of AI infrastructure in the U.S. — collaborating with TSMC, Foxconn, Wistron, Amkor Technology, Inc., and SPIL 矽品. Manufacturing the world’s AI technology stack in America will fuel innovation and bolster the US supply chain. The production of American AI factories is projected to create hundreds of thousands of jobs and drive trillions of dollars in economic security over the coming decades. Read more: https://nvda.ws/46WwDYb
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
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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
Employees at NVIDIA
Updates
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Get ready for an unforgettable keynote from NVIDIA CEO Jensen Huang, where he’ll unveil what’s next in agentic AI, robotics, and accelerated computing. 📍 October 28 at 12PM ET / 9AM PT, streaming live from Washington, D.C. 🎬☕+ kick-start keynote day with the #NVIDIAGTC Live pregame show starting at 8:30AM ET. Add to your calendar: https://nvda.ws/3LfdJTO
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That’s a wrap on Oracle #AIWorld 🎉 NVIDIA showed up in a big way — from the keynote stage with Ian Buck, VP of Hyperscale and HPC, and Mahesh Thiagarajan, EVP of Oracle Cloud Infrastructure, to deep tech conversations with Dave Salvator, Director of Accelerated Computing Products — showcasing how we’re powering the future of enterprise AI. 🔗 https://nvda.ws/4n9NtHK
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From rockets to AI. Nine years after the original NVIDIA DGX-1 handoff, Jensen Huang delivered a brand-new DGX Spark to Elon Musk at Starbase. The DGX Spark is a petaflop powerhouse built for creators, researchers, and developers — a desktop-sized supercomputer with five times the performance of the first DGX-1. 🚀✨ Filmed at SpaceX's rocket factory in Texas, this moment captures a conversation between the two visionaries. ➡️ https://nvda.ws/4q5C2DI 📹 https://nvda.ws/495JyZ8
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🚀 The NVIDIA Newsroom Weekly is here. This week: - NVIDIA DGX Spark — the world’s smallest AI supercomputer — begins shipping. - Meta and Oracle use NVIDIA Spectrum-X Ethernet to power the next wave of giga-scale AI factories. - NVIDIA CEO Jensen Huang and NetApp CEO George Kurian discuss solving the unstructured data challenge. - DGX Spark named one of TIME’s Best Inventions of 2025. Read the latest ⬇️
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🎊Today is the day. NVIDIA DGX Sparks are now shipping from us and from our partners. ➡️ https://nvda.ws/494LPDW We enjoyed delivering some of our first desktop AI supercomputers to researchers, developers, universities, creators, to launch the next chapter in AI: Refik Anadol — Director and Media Artist, Refik Anadol Studio Yagil Burowski — Founder and CEO, LM Studio Soumith Chintala — Head of PyTorch Meta, New York University ComfyAnonymous — Creator of ComfyUI Lev Gonick — Enterprise CIO, Arizona State University Yann LeCun — VP & Chief Scientist, FAIR, Meta, New York University Professor Joseph Mardall — Chief Hardware Officer, Zipline Jeffrey Morgan — CEO and Co-Founder of Ollama Joseph Nelson — Co-Founder and CEO of Roboflow will i am — Founder and CEO of FYI And special thanks to 🙌 Serve Robotics. Watch 👇 or on YouTube: https://lnkd.in/gYgFx32j #SparkSomethingBig ✨
🎊Today is the day. NVIDIA DGX Sparks are now shipping from us and from our partners
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✨ We were honored to deliver some of the very first NVIDIA DGX Sparks to AI Pioneer Yann LeCun, and AI Researcher, Soumith Chintala, from Meta and New York University in NYC. “Every PhD student in AI should have one of these,” said Yann. We couldn’t agree more. We are anticipating great things from their visionary AI research. http://nvda.ws/42CkrJB #SparkSomethingBig 💫
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📣 The storage system has been reinvented for the age of AI reasoning. Our CEO Jensen Huang sat down with NetApp CEO George Kurian to discuss how they’re bringing accelerated computing, NVIDIA AI software, and data platforms together to solve the unstructured data challenge. NetApp AFX and the NetApp AI Data Engine enable enterprises to index, manage, and process massive volumes of data semantically across their entire infrastructure, allowing businesses to accelerate and scale their enterprise AI workloads. #NetAppINSIGHT 🔗 Watch the full conversation: https://nvda.ws/3J8vhQW
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🎉 To celebrate DGX Spark shipping worldwide starting Wednesday, our CEO Jensen Huang just hand-delivered some of the first units to Elon Musk, chief engineer at SpaceX 🚀, today in Starbase, Texas. The exchange was a connection to the new desktop AI supercomputer’s origins -- the NVIDIA DGX-1 supercomputer -- as Musk was among the team that received the first DGX-1 from Huang in 2016. See our live blog for details, and on more early deliveries to developers, creators, researchers, universities, and more: 🔗 http://nvda.ws/4n3tafi #SparkSomethingBig ✨
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🚨NVIDIA and its partners will start shipping DGX Spark — the world’s smallest AI supercomputer. Early recipients of DGX Spark, are testing, validating and optimizing their tools, software and models for DGX Spark. Built on the NVIDIA Grace Blackwell architecture, DGX Spark integrates NVIDIA GPUs, CPUs, networking, CUDA libraries and NVIDIA AI software, accelerating agentic and physical AI development. 🔗 https://nvda.ws/4oeasCr #SparkSomethingBig ✨
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