AI agents need the right model for each step and a way to route work across them. Today, NVIDIA announced NVIDIA Nemotron 3.5 Lightning, a customizable model for high-volume, specialized work, and NVIDIA NeMo Switchyard, which helps agents route each workflow step across the models they choose. Learn more: https://nvda.ws/4wOWo7e
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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NVIDIA just announced independent partnerships with Apollo Global Management, Inc., BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish AI compute infrastructure financing platforms aimed at mobilizing over $500 billion of third-party capital for the buildout of AI infrastructure over time. Our CEO Jensen Huang joined leaders from all six partners on CNBC to discuss the announcement and a major shift in computing: NVIDIA compute as a productive, investable asset. Thank you to Jim Zelter, Larry Fink, Jon Gray, Bruce Flatt, David Solomon, and Waldemar Szlezak for helping unlock the next phase of AI growth.
A new asset class is being born. AI factories are becoming investable infrastructure. The capital markets are mobilizing to build the infrastructure of intelligence.
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Armenia and Kazakhstan with Firebird AI are building the infrastructure to create intelligence at home, powered by the NVIDIA DSX platform. 📽️ Hear from NVIDIA CEO Jensen Huang on this important milestone for the CIS region. https://nvda.ws/4i1sKa6
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Today in Armenia, Firebird AI announced the launch of the CIS region's largest AI factory, designed to bring global demand for AI infrastructure, local development opportunities and new economic growth to the region. Powered by NVIDIA accelerated computing with Dell Technologies, Schneider Electric, and Vertiv, the facility will provide developers, enterprises, universities and public institutions with the infrastructure to build and deploy AI at scale. Read more: https://lnkd.in/eMXV2_f3
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Vera Rubin NVL72 Compute Tray. Designed to scale. Assembled in 1 minute. 100% automated. No cables, no hoses, no fans. A revolutionary new design that means faster ramp and faster time to revenue.
The NVIDIA Vera Rubin NVL72 compute tray. 200 AI petaFLOPs. Assembled in one minute. That's what a single-wide, third-generation NVIDIA MGX rack enables. No cables. No hoses. No fans. It's 100% liquid cooled at 45°C and brings together Vera Rubin Superchips, ConnectX-9 SuperNICs, and BlueField-4 DPUs to deliver the lowest token cost and best performance per watt. #NVIDIAVeraRubin
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In the August NVIDIA Training newsletter, explore the new AI Rack and Interconnect Professional certification exam, the expanded NVIDIA AI Factory Deployment learning path, and training and certification opportunities at GTC Berlin. Also inside: Jetson AI Lab livestreams for edge AI, plus NVIDIA Developer Champions’ deep dives on production-ready agents and large language model (LLM) serving.
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Every business has different data, workflows and standards. Its AI should reflect that. Swipe to see how NVIDIA Nemotron open models help teams build specialized AI they can trust, control and customize, then improve against the outcomes that matter most. Learn more: https://nvda.ws/4feWAFc
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Network automation and autonomous networks aren't the same thing — and the gap between them is where the next generation of telco operations lives. In this video, Amogh Dendukuri breaks down what it takes to get there: agentic AI, closed-loop operations, and an ecosystem building on NVIDIA platforms to make it real. 🔗 Learn more at https://nvda.ws/4wE6nMp
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How do you explain world models to your sibling? 🤖 NVIDIA Cosmos helps physical AI reason about real-world interactions and simulate possible futures before acting in the real world. Or, as they might put it, it teaches robots to dream. 💭 Learn more about world models: https://nvda.ws/3RRiqXH