At Google I/O, NVIDIA and Google Cloud are celebrating a milestone: more than 100,000 developers have joined our joint developer community in just one year, and the platform is expanding. In the past year, members have shipped RAG applications on GKE, built multi-agent pipelines, and prototyped hybrid inference for real-world use cases like sports analytics and enterprise data pipelines. What's new this year: → JAX learning path for running and scaling workloads on NVIDIA GPUs → NVIDIA Dynamo on GKE codelab for large-scale inference optimization → Monthly developer livestreams with practical guidance on topics like Multi-agent app development with Gemma 4, NVIDIA Nemotron, and Google ADK on RTX PRO 6000 Blackwell GPUs NVIDIA is also collaborating with Google DeepMind on responsible AI, using SynthID to watermark outputs from NVIDIA Cosmos world foundation models. Read more: https://nvda.ws/4dtRhAU
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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Excited to collaborate with Blue Yonder to help bring scalable AI innovation to supply chains worldwide. Looking forward to what’s next.
Just announced from the #BYICON mainstage: Blue Yonder, the AI company for supply chain, unveils its Model Training Factory, built on NVIDIA Nemotron. Purpose-built to accelerate the development of AI agents for an autonomous supply chain. The partnership moves companies to “owned intelligence, not rented intelligence,” said Blue Yonder CEO, Duncan Angove. “This isn't a one-off fine-tuned model. It's a factory, and it produces purpose-built agents at the speed, precision, and cost the autonomous supply chain demands." Customers can access the Model Training Factory later this year through Blue Yonder Cognitive Solutions. The future is now! https://okt.to/qprod1
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NVIDIA’s Ian Buck hand-delivered the first-ever NVIDIA Vera CPUs to our partners Anthropic, OpenAI, SpaceX and Oracle Cloud. 🎉 Vera is NVIDIA's first custom CPU, purpose-built for the age of agentic AI. This is just the beginning. The road to Vera-powered systems starts here. Thank you to our partners for being on this journey with us. The best is yet to come. 💚 🔗 https://nvda.ws/42KhQgl
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NVIDIA reposted this
#NVIDIAGTC is coming to Berlin, October 20–22 📣 Deep dives. Hands-on sessions. Real-world AI. It all starts here. Join the developers, researchers, and business leaders building the next generation of AI infrastructure. Registration opens soon. Follow for updates. 🔗https://nvda.ws/4wBcWzZ
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NVIDIA reposted this
We’ve rerouted 🔀 NVIDIA Networking has joined NVIDIA AI Infrastructure. One home for the fabric, the compute, and everything in between. Follow along as we build the future of AI infrastructure.
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The story of NVIDIA was never a straight line. Our CEO Jensen Huang joined Guy Raz on How I Built This to talk about near-failure, first principles, CUDA and why AI gives the next generation more tools, not fewer opportunities. Watch the full interview now: https://nvda.ws/49Uv5ie
🚨 NEW HIBT INTERVIEW WITH Jensen Huang 🚨 For most of its history, NVIDIA was known mainly to gamers. Today, it sits at the center of the AI economy. What changed wasn’t luck. It was a bet that looked irrational for years. When Jensen Huang co-founded NVIDIA, the company focused on graphics chips for video games. And early on, things went badly. One of their first major products failed so badly Jensen later said, “Every decision we made was wrong.” The company came dangerously close to collapsing. Then Jensen made an even riskier decision. He invested heavily in something called CUDA — a software platform that allowed NVIDIA’s gaming chips to be used for completely different kinds of computing problems. At the time, almost no one cared. There wasn’t a real market for it. The early adopters included a handful of researchers, including scientists working on cancer research. Investors questioned why NVIDIA was spending billions on technology that generated almost no revenue. But Jensen believed the future of computing would change. His core insight was that certain problems could be broken into thousands of smaller calculations and solved simultaneously — a concept known as parallel computing. That turned out to be exactly what modern AI systems needed. So when researchers began using NVIDIA chips to train neural networks, the company suddenly became foundational to the AI revolution. What had once been a niche gaming hardware company became one of the most important technology companies in the world. The lesson isn’t just about AI. It’s about holding conviction through long periods where the market can’t yet see what you see. Hear the full story on How I Built This with Guy Raz
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Watch now as our CEO Jensen Huang joins Dell Technologies Chairman & CEO Michael Dell on stage at the Unleash the Future Keynote at #DellTechWorld. Watch here: https://nvda.ws/4tdMFoh
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This week in the NVIDIA Newsroom: - NVIDIA CEO Jensen Huang to Carnegie Mellon graduates: “Run, don’t walk” into the AI revolution. - At SCSP AI+ Expo in Washington D.C., NVIDIA and U.S. energy leaders discuss powering America’s AI future. - NVIDIA and Corning expand U.S. manufacturing for AI infrastructure. - NVIDIA and IREN partner to accelerate up to 5 gigawatts of AI infrastructure. Read it all now: ⬇️
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In remote Australia, the nearest doctor can be hundreds of miles away. In the Catalyst series, we meet visionaries tackling the world's biggest challenges. See how Helfie is leveraging Microsoft Azure and NVIDIA to bridge that gap with AI-driven health monitoring, bringing preventive care to distant communities. Watch now: https://nvda.ws/4nooAdl
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NVIDIA reposted this
What does it take to serve agentic workloads on trillion-parameter models at 400 tokens per second per user — without trading throughput for latency? The NVIDIA Vera Rubin platform pairs Vera Rubin NVL72 with NVIDIA Groq 3 LPX to deliver low latency on trillion-parameter MoE models with 400K-token context with a 35x higher throughput per megawatt. Learn how the deterministic LPU chip-to-chip (C2C) fabric and extreme co-design address agentic AI's scale-up challenges. ➡️ https://nvda.ws/4388A5E
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