🎶Ride into the-startup-zone in San Diego 😎 Join us at #NeurIPS2025 for our Launching Legends networking event designed to take your research breakthroughs and launch them into startups.🚀 Spots limited, RSVP today ➡️ https://lnkd.in/gBekDx67
About us
Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.
- Website
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http://nvda.ws/2nfcPK3
External link for NVIDIA AI
- Industry
- Computer Hardware Manufacturing
- Company size
- 10,001+ employees
- Headquarters
- Santa Clara, CA
Updates
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🎉Congratulations Károly on 1000 episodes of Two Minute Papers! And, thank you so much for featuring us. What a time to be alive! 🙌 🎥 https://lnkd.in/eYwp7qqH
NVIDIA’s New AI Just Made Real Physics Look Slow
https://www.youtube.com/
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In just six months, NVIDIA and our partners have built the first AI-native wireless stack made in America. This AI-RAN stack, powered by NVIDIA AI Aerial, creates a clear onramp from 5G to 6G. It enables: 📡 Management of rapid AI traffic growth 📈 AI-powered spectrum agility ⚙️ Integrated sensing and communications Watch the demo to learn more: https://nvda.ws/3LuVCcH
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Verily researchers achieved 10x faster training than previous approaches with NVIDIA Nemo Automodel and H100 GPUs 👏 This is the kind of acceleration that moves AI from pilots to clinical impact.
Today, Verily announced a collaboration with NVIDIA to speed the development of AI agents and models across research and care. NVIDIA’s AI tech stack will be integrated across Verily’s Pre platform, which is used by health system, life science, payer, and government customers and partners to more efficiently develop and deploy AI across healthcare. "Integrating NVIDIA's accelerated infrastructure and software stack into Verily's Pre platform will empower researchers to unlock new insights and drive faster development of AI models — ultimately leading to more personalized medicine and earlier disease prediction," said Trent Norris, Global Industry Leader for Digital Health at NVIDIA. Learn more: https://veri.ly/47MzAuA #AIInHealthcare #HealthInnovation #HealthTech #PrecisionHealth
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NVIDIA cuPyNumeric, a multi-node, multi-GPU NumPy-compatible library, is ideal for domain scientists and researchers to scale their Python and NumPy program to multi-GPU multi–node without having to write complex parallel computing code like MPI. We’ll demonstrate how to use 2 DGX Spark systems as a desktop cluster to accelerate cuPyNumeric locally. Get Started with DGX Spark: https://nvda.ws/4o2rDHn
DGX Spark: Accelerated cuPyNumeric on your desktop cluster
www.linkedin.com
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⏰ Livestream starting at 11 a.m. PST today. Here on LinkedIn, or on YouTube ➡️ https://lnkd.in/gSKyCKwU We’ll demonstrate how to use 2 DGX Spark systems as a desktop cluster to accelerate cuPyNumeric locally. NVIDIA cuPyNumeric, a multi-node, multi-GPU NumPy-compatible library, is ideal for domain scientists and researchers to scale their Python and NumPy program to multi-GPU multi–node without having to write complex parallel computing code like MPI. #SparkSomethingBig ✨
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🏙️ What happens when cities can see, think, and act? Digital twins + agentic AI are enabling: 🏗️ Smarter infrastructure planning ⚡ Faster, more informed decision-making 🛣️ Real-time operations for safer, more resilient cities This is a new model for how urban systems are designed, governed, and continuously improved. 🎥 Watch the video: https://nvda.ws/47rdGx4
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NVIDIA AI reposted this
It's been a week of high honors for NVIDIA's leadership. Founder and CEO Jensen Huang and Chief Scientist Bill Dally were honored with the Queen Elizabeth Prize for Engineering, recognizing their work in accelerated computing — the foundation of modern AI. CEO Jensen Huang also received the Professor Stephen Hawking Fellowship for his contributions to science and for inspiring tomorrow's innovators. 🔗 https://nvda.ws/4hOukub
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📣 How the U.S. is Unlocking the Future Through AI Read the latest edition of our AI Insights for Business newsletter to learn how government, industry, and academia are investing in AI infrastructure to drive the next wave of innovation across healthcare, energy, manufacturing, and telecommunications. 📰 Subscribe now to get the top AI insights delivered straight to your inbox.