The official handle for NVIDIA. Blog: blogs.nvidia.com Support: nvda.ws/2ei5pio All our social media: nvda.ws/2wmlfGB

Santa Clara, CA
Based in United States
Ten years ago at NVIDIA GTC 2016, our CEO @JensenHuang introduced DGX-1, our first AI supercomputer. Since then, NVIDIA DGX has transformed from a single system into a blueprint for AI factories. What hasn’t changed is the reason why we build DGX: to test the systems and work through the details of interconnects, cooling, and software so our partners and customers have a proven foundation to build on. Charlie Boyle, our VP of DGX Systems, looks back at how DGX got its start, what’s changed, and what comes next. Thanks to everyone who’s been on this journey with us. #DecadeOfDGX Watch the full video: nvda.ws/4yQkRJW
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With @GoogleDeepMind, @emblebi, and research partners, we’re making AI-predicted protein complex structures for 2,800+ viruses openly available. This gives scientists a head start in preparing for potential outbreaks.
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AI is technology that is built and improved by people, who have a responsibility to develop and deploy it thoughtfully. And helping people benefit from AI means taking its challenges seriously. The technology industry needs to do that work.
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Enterprises should own their intelligence. That means bringing AI to their sensitive data while protecting both business data and proprietary models. NVIDIA’s @j_boitano and @VAST_Data Renen Hallak discuss how NVIDIA Confidential Computing makes this possible.
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At the G20 Innovation Ministerial, @JensenHuang joined U.S. Commerce Secretary @howardlutnick to discuss the infrastructure the Intelligence Age requires. A gigawatt-scale AI factory is a $50–60 billion investment. At that cost, the architecture cannot be so specialized that a change in models or algorithms renders it obsolete. It has to be fungible. It has to be durable. And it has to keep improving through software.
Ramesh Dontha 🦉
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From fusion energy to repurposed EV batteries, five companies are using NVIDIA AI, digital twins and accelerated simulation to help build a lower-carbon grid. Meet the clean energy innovators moving research into reality 🧵
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TerraPower is developing digital twins to accelerate the delivery of advanced nuclear plants. Commonwealth Fusion Systems is compressing years of fusion experimentation into weeks.
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Grok 4.7 has landed. 🚀 Congrats to @SpaceXAI on its most capable model yet for coding and knowledge work. Proud to support the team with NVIDIA accelerated computing.
Grok 4.7 is a strong combination of intelligence, speed & low cost
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Congratulations to @einrideofficial on bringing autonomous trucking to highways and suburban roads with the next generation of Einride Driver. Built on NVIDIA Hyperion.
Einride enters a strategic collaboration with @NVIDIADRIVE to accelerate autonomous trucking on highways and suburban roads. Building the next generation of Einride Driver on NVIDIA Hyperion platform, supports capital efficient scale of autonomous capacity across Einride’s freight network. $ENRD
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Moving fast and building safely aren’t at odds. AI should move as fast as we can, with rigorous testing, monitoring, and safeguards every step of the way. @JensenHuang on @CBSSunday:
CBS Sunday Morning 🌞
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Models across the AI ecosystem run on NVIDIA. New models and AI labs are emerging all the time. Our CEO @JensenHuang shares the idea behind NVIDIA’s platform: build what the ecosystem needs and help everyone succeed. #AllInSummit
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Every child’s heart is different. The way doctors plan their care should account for that. At @ChildrensPhila, open source AI turns existing CT scans, MRIs and 3D ultrasounds into precise models of a child’s heart. A process that once required 6+ hours of manual modeling can now be completed in seconds. Built on MONAI, an open source medical imaging framework cofounded by NVIDIA, the models help doctors compare how different devices could fit and plan around each child’s unique anatomy before a procedure. Read more: blogs.nvidia.com/blog/childr…
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Welcome to Voyager. From just 32 images of our campus, World Labs’ Atlas model created a new way for you to move through our park in real time, built on NVIDIA’s open platform, choosing where to go and what to see. @theworldlabs, you made our home look good. 💚
From 32 input images to real-time flight through @nvidia's Voyager headquarters. Trained on NVIDIA Blackwell GPUs, Atlas uses these images as 3D spatial context to generate new views, letting you explore with pixel-perfect camera control. Take a look around.
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At Dumfries House in Scotland, our CEO @JensenHuang joined His Majesty The King and global leaders to discuss how AI can serve the public good. Jensen's message: capability and safety must advance together, expanding opportunity and putting AI to work for people.
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Same, Marc. Same. 😎
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