NVIDIA Data Center
@NVIDIADC • 62,638 subscribers
AI factories for the era of AI reasoning.
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🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️
NVIDIA Data Center268,424 次观看 • 4 个月前
At #NVIDIAGTC 2018, we launched #NVIDIADGX-2, the world's first 2 petaFLOPs AI supercomputer. This system was designed with increased GPU memory to enable customers to train more complex models using larger datasets. The DGX-2 empowered organizations to tackle previously "uncomputable" problems, effectively removing the ceiling on institutional ambition. Here’s a look back on the announcement. #DecadeOfDGX
NVIDIA Data Center24,356 次观看 • 3 个月前
Last week at #CES2026, our CEO Jensen Huang unveiled #NVIDIARubin, our new extreme-codesigned, six chip AI platform, alongside major advancements in open models and physical AI. On the show floor, we showcased some of the AI infrastructure and #acceleratedcomputing technologies that's powering the next era of AI. Thank you to everyone who stopped by the NVIDIA Showcase and we’ll see you next time. 👋
NVIDIA Data Center29,069 次观看 • 4 个月前
NVIDIA Vera Rubin is in full production and arrives just in time for the next frontier of AI. The #NVIDIARubin platform uses extreme co-design across six new chips to accelerate agentic AI, advanced reasoning and massive-scale MoE model inference. NVIDIA Vera Rubin NVL72: Six new chips, one AI supercomputer — see how we built it.
NVIDIA Data Center27,643 次观看 • 4 个月前
Frontier models that use reasoning to "think" during inference are generating 5X more AI tokens per year. ✨ "Inference is now a thinking process. And in order to teach AI how to think, reinforcement learning and very significant computation was introduced into post-training," said NVIDIA CEO Jensen Huang in a recent keynote at #CES2026. Reinforcement learning is increasing computation demands across all AI scaling laws: pre-training, post-training, and test-time scaling. Learn more about reinforcement learning and AI scaling ➡️
NVIDIA Data Center13,159 次观看 • 4 个月前
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