What used to take years now takes a week. Texas A&M University's VISION, an NVIDIA DGX SuperPOD and the most powerful academic supercomputer on the June 2026 TOP500, is giving researchers across seven institutions the compute to tackle challenges at unprecedented scale and speed. Read the full story: https://nvda.ws/4zLEaFz
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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Open development helps AI move faster. When we can learn from, build on and improve each other’s work, we can make better technology together. Hear Bryan Catanzaro on The MAD Podcast / Data Driven NYC: https://nvda.ws/4hW94EM
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NVIDIA reposted this
Agentic inference is multi-turn, with highly variable sequence lengths, long contexts, tool-call delays, and bursts of sub-agent activity. SemiAnalysis's InferenceX benchmark evolved to capture just that with the new AgentX benchmark. Learn more about how we deliver leading performance across all frontier models ➡️ https://nvda.ws/4gpFI0k
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Congratulations to Josh Parker, NVIDIA's Head of Sustainability, on being named to TIME’s 2026 #TIME100AI list. Learn more: https://nvda.ws/45RnvCW
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NVIDIA Vera is heading to Amazon Web Services (AWS). NVIDIA’s Ian Buck hand-delivered AWS’s first Vera CPU Server and Vera Rubin GPU to Willem Visser and Supreeth Sheshadri at the AWS HQ in Seattle. Vera is purpose-built for agentic AI: more tokens per dollar, faster results for users, and the compute foundation AI factories need to scale. Read more: https://nvda.ws/4qCNqrx
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NVIDIA and Amazon Web Services (AWS) are expanding the partnership across the full stack — GPUs, CPUs, networking, open models and software — to make agentic and physical AI real at a pace and scale that only we can deliver together. What that looks like: ➡️ 2 million additional NVIDIA GPUs across AWS’s global infrastructure ➡️ NVIDIA Vera CPU coming to AWS for agentic AI ➡️ Faster, more power-efficient memory with NVLink Fusion with NVHBM ➡️ AI factories for the U.S. government, including 100,000 GPUs on secure AWS infrastructure Demand is running ahead of every forecast and we’re building to match it. 🔗 Read the announcement: https://nvda.ws/4y7Ne6c
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NVIDIA Vera Rubin NVL72 production racks are here. The compute tray is engineered for fast compute, assembly, and serviceability. Manufacturing is 100% automated, and every tray goes together in one minute. Congratulations to Microsoft on the first operational Vera Rubin NVL72 racks, now rolling off Foxconn Ingrasys 鴻佰科技股份有限公司 lines.
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Meet Portable Computer, Perplexity's new local-first agent stack on NVIDIA DGX Spark. When running locally, Portable Computer offers one-click local inference setup and an optimized agentic experience for DGX Spark. Learn more and get started today: https://lnkd.in/gxbpZszv
Today we’re launching Portable Computer on NVIDIA DGX Spark. Portable Computer is a fully local version of Perplexity Computer, where the entire runtime: orchestrator LLM, subagent LLM, agent harness all run on your local hardware. No cloud dependency. When a task needs frontier reasoning, the orchestrator asks for approval before routing it to a frontier model in the cloud. It's user-gated, PII-flagged, and text guidance only. Your sensitive documents stay on your device. Portable Computer runs a post-trained and locally installed PPLX 27B model. Qwen 3.8 27B is also available, with support for NVIDIA Nemotron 3.5 Lightning coming soon. Portable Computer is available today for all Perplexity Pro and Max subscribers with an NVIDIA DGX Spark. Get started: https://lnkd.in/gU8hB9VV
Introducing Portable Computer on NVIDIA DGX Spark.
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NVIDIA is building more than faster GPUs. We’re building the software and algorithms that help redefine what accelerated computing can do. CUDA-X provides the specialized software acceleration industries need to build what’s next. Swipe through to see how CUDA-X libraries turn GPU compute into real-world applications across engineering, physics and AI, from supply-chain optimization with cuOpt to computational lithography with cuLitho. Explore CUDA-X: https://nvda.ws/3SDTUd0
