“NVIDIA’s cost per token is the lowest in the world.” — Jensen Huang, Founder & CEO of NVIDIA Token generation cost is a direct result of architecture excellence and extreme co-design, not just compute cost. Lowest cost per token and highest performance per watt are definitive measures of AI economics and the key to unlocking maximum profitability and AI revenue. ➡️ https://nvda.ws/4malhpu
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 reposted this
🦞 Learn how to get started with NVIDIA NemoClaw on DGX Spark -- an ideal platform for running autonomous agents locally. NemoClaw is an open source stack that adds privacy and security controls to OpenClaw. 📅 Friday, April 3 at 11 a.m. Pacific 📌YouTube: https://nvda.ws/4s7GWQB 📌LinkedIn: https://nvda.ws/4svriyJ
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"The inflection point for inference has arrived." — Jensen Huang, Founder & CEO of NVIDIA We’ve officially crossed a new milestone in the inference era — where widespread adoption of AI shifts from learning to doing. The breakthrough: extreme codesign across hardware and software driving down cost per token. Lower cost → more inference More inference → more users and applications More users and applications → exponential AI revenue growth 🔗 https://nvda.ws/4bQkV3K
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Delivered performance, not peak chip specifications, drives AI factory productivity. Rigorous benchmarks are the only way to see past the noise. In MLPerf Inference v6.0, NVIDIA extreme co-design delivered the highest token output across the broadest range of models and scenarios. Maximizing token output drives down token cost and maximizes AI factory productivity. Read the blog post to dive into the details: https://nvda.ws/3OaEE5b Baseten, CoreWeave, MLCommons
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NVIDIA reposted this
📣 MLPerf Inference v6.0 results are in. Learn how systems powered by NVIDIA Blackwell set the pace on inference, delivering the highest AI factory throughput. 🔗 https://nvda.ws/4bHy7Ic
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NVIDIA reposted this
Missed GTC 2026? You can still catch the best moments. Explore sessions covering physical AI, agentic AI, inference, AI factories, and more now available on NVIDIA On-Demand. 👉 Check out top talks from #NVIDIAGTC 2026: https://nvda.ws/4rZiTTH 👉 Access 600+ sessions: https://nvda.ws/4s7ZWym
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NVIDIA reposted this
🌎 Regenerating Earth with robotics and AI, first by breaking chemical dependency in agriculture. Kenny Lee, Co-Founder and CEO, shares Aigen's mission, and the biggest risk he’s taken as a founder. #NVIDIAGTC
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NVIDIA reposted this
After a ride in a Mercedes-Benz AG autonomous vehicle built on NVIDIA DRIVE AV, one journalist came to a clear conclusion: this is the future of driving. See what they experienced: https://nvda.ws/4m3y2SQ
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If it felt like Jensen Huang was everywhere at GTC… you were right 👀 The holographic AI agent of Toy Jensen (TJ), built by LiveX AI using NVIDIA hardware and software, showed up across the show floor answering questions and posing for selfies. Attendees had the opportunity to create their own avatars right alongside TJ. Big thanks to LiveX AI for bringing this #NVIDIAGTC experience to life 👏 🔗 https://nvda.ws/4m1nBPt
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