Today, @Rebellions_inc, @SKtelecom and @NVIDIA announced a collaboration to advance sovereign AI infrastructure with NVIDIA NVLink Fusion. Sovereign AI requires an entire stack: chips, infrastructure, models and services working together. The collaboration, supported by Korea’s Ministry of Science and ICT, connects domestic semiconductor innovation with sovereign AI infrastructure. Korean-designed processors. Open, rack-scale infrastructure. A national AI vision to build toward. Read the Announcement: nvda.ws/4z7oVFy
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Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. nvda.ws/4hcoq7m
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Thanks very much @JensenHuang! My first trip to Taiwan was in 1985 when I was 20. Compeq (not Compaq 😂) made PCBs for us. This is the hand wired (Jay Bell, RIP) prototype of our first 286 based PC and the actual production motherboard. It was based on a chipset from Chips and Technologies, they were produced in Japan at that time before TSMCs rise. I explained a bunch of this history in #PlayNiceButWin. youtu.be/gkFkIP2gKgY?is=6dgf…
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venkat retweeted
A little walk. A lot to talk about. Always fun dreaming big with @Benioff and our friends at @Salesforce.
Live: @JensenHuang x @Benioff at @Dreamforce Fresh off the debut of Koa — Salesforce’s first CRM reasoning model for Agentforce, built on @NVIDIA Nemotron
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Thank you @salesforce for inviting me to talk at Dreamforce exec exchange today on AI safety and the amazing opportunity AI brings to every company and industry. Thanks @geoffreyamoore for your insightful questions and commentary from the audience!
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Our own @j_boitano joins @Cisco's Jeetu Patel on the #SplunkConf26 keynote stage on Monday to talk agentic AI, resilience, and what it actually takes to operate at machine speed. Tune in ⤵️
The agentic enterprise is taking the #splunkconf26 stage. Tune in to see how organizations like @nvidia and @awscloud transform security, observability, and operations with AI-powered workflows grounded in trust and proven at scale. 📆 splk.it/4icZduq
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Exciting day for NVIDIA and @huggingface. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI. Thank you @ClementDelangue for coming to me. NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗 blogs.nvidia.com/blog/nvidia…
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venkat retweeted
drop what you're doing and watch this roundtable on CNBC right now with @BeckyQuick 👏 CEOs of Nvidia, Goldman, Blackrock, Blackstone, Brookfield, KKR all at one table (almost.. Fink remote) Nvidia teams up with Wall Street asset managers on $500B AI infrastructure push: cnbc.com/2026/08/10/nvidia-w…
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And that makes three: @Samsung Chairman Lee Jae-Yong joined Jensen at NVIDIA as part of a full day with Korea’s technology leaders.
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For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-W…
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THE $NVDA VERA RUBIN SUPPLY CHAIN BREAKDOWN Nvidia’s Vera Rubin is ramping into full-scale production and reshaping the AI rack bill of materials in three major ways: more HBM per rack, a shift from pluggable to co-packaged optics and the move to 800VDC power. Here are the companies positioned to capture each transition: Memory Storage (content-per-rack story) • $MU, $SNDK, $SKHY and Samsung sit at the memory and storage layer as next-gen AI systems require more bandwidth, more capacity and faster data access. Advanced Packaging (bottleneck that gates everything) • Foundry / packaging: $TSM, $AMKR, $INTC • Packaging equipment: $AMAT, $LRCX, $KLAC, $ASML • Test / validation: $TER, $AEHR • Substrates / materials: $TTMI Optical Communication (CPO transition) • Optical modules: $COHR, $LITE, $AAOI • CPO / switching chips: $AVGO, $NVDA, $MRVL • High-speed connectivity: $CRDO, $ALAB • Fiber / networking: $GLW, $NOK, $CSCO, $ANET • Silicon photonics / packaging: $TSM, $GFS, $TSEM 800VDC Power Supply (architecture shift) • Wide-bandgap semis: $STM, $ON, $NVTS, $POWI, $WOLF • Power management / hardened devices: $MPWR, $ADI, $TXN, $AOSL, $VICR, $MCHP • Motherboard / connector / power module: $FLEX, $APH, $TEL • Infrastructure / power delivery: $VRT, $ETN, $GEV Compute System (integrators) • $DELL, $HPE, $SMCI provide the system-level integration layer that turns all of these components into deployable AI infrastructure.
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A warm California welcome from NVIDIA to @SKhynix.
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Agentic AI can generate 100x more tokens per task than a standard chat exchange, changing the economics of AI and requiring infrastructure built for the full inference loop. Learn how @CrusoeAI uses our full AI stack—from NVIDIA DSX-powered AI factories and Dynamo to open Nemotron models—to deliver more work per watt at a lower cost per token ⤵️
GPU per hour is just the tip of the inference iceberg. 🧊 Agents can use 10 to 100x more tokens per task than a single chat exchange. @NVIDIA Nemotron 3 Ultra, NVIDIA Dynamo, and fastokens are how we're building for what's below the surface: goodput and throughput. 🔗 crusoe.ai/resources/blog/tok… #AgenticAI #Nemotron #AIInfrastructure
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venkat retweeted
Jensen Huang’s simplest explanation of an AI agent: a worker in a workshop. The model thinks. The harness gives it form. Tools and skills let it act. And the runtime gives the agent a place to get work done.
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The world’s first @nvidia Vera Rubin NVL72 server rack is here. We’re thrilled to deliver the first working, liquid-cooled @Dell PowerEdge XE9812 for @CoreWeave. Built for the next era of AI infrastructure. 🚀🤝
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venkat retweeted
Two frontier labs. One accelerated computing platform. Congrats to @SpaceX and @AnthropicAI on the new compute partnership, powered by 220,000+ NVIDIA GPUs inside Colossus 1. The future of AI runs on NVIDIA.
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
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