NVIDIA (@nvidia)

AI compute is going to orbit. 🚀 @SpaceX’s Starmind AI1 satellite compute payload is powered by NVIDIA Vera Rubin NVL72, bringing AI factory compute closer to the stars. The next chapter of AI infrastructure boldly goes where no AI compute has gone before.

AI security advances when the industry builds in the open, together. We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents. By sharing models, tooling and research in the open, we can broaden the community of defenders. Learn more about the founding members’ contributions:

"When I left this morning, I was just Jensen. Next time I come back, call me K-Jensen.” Korea isn't just an NVIDIA partner anymore. It's where the next wave of AI gets built and SNU is at the center of it. Introducing the NVIDIA AI Technology Center at @SeoulNatlUni. NVIDIA ❤️ SNU — let's build. 🇰🇷

SK Group and NVIDIA today announced a $500 billion-plus initiative spanning AI factories and next-generation memory. ➡️ @SKtelecom is building a 2-gigawatt NVIDIA Vera Rubin DSX AI Factory in Korea to serve global compute demand. ➡️ @SKhynix and NVIDIA will codevelop next-generation AI memory, including HBM. Korea is ready to become a global AI powerhouse with world-class networks and data centers, leadership in chip technology and vast industrial scale.

What a moment for @NPS_Monterey and the public sector. At Converge @ NPS, our CEO Jensen Huang joined federal leaders and ecosystem partners to commission the #NVIDIADGX# GB300 system, providing 1,500 students and 600 faculty with on-premises access to large-scale AI computing for research, model training, simulations, and real-world application development. The visit marked a shared commitment to advancing AI education, research, and mission-focused innovation.

Missed the NVIDIA keynote at #SIGGRAPH2026#? Catch up on the latest breakthroughs in neural rendering, world models and simulation for robotics, presented by NVIDIA research and engineering leaders Neil Ashton, Edward Liu and Ming-Yu Liu. Watch on demand 🎥

NVIDIA is advancing graphics and simulation with agentic and physical AI at #SIGGRAPH2026#. From open models to real-time simulation, AI and graphics breakthroughs are transforming media, content creation, and robotics. Read the latest announcements. 👇

Jensen. @SEGA. Akihabara. 🎮 Some collabs are just meant to be. We stepped into the heart of Tokyo's most legendary gaming district to celebrate decades of shared history, and the next era with @NVIDIARTXSpark.

What’s the saying about the early bird and the worm? 🐦🪱 #NVIDIAGTC# Berlin discounted pricing is available for a limited time only - join us for the latest in AI, accelerated computing, robotics, simulation, and more.

AI factories don’t have to be a strain on the grid. Instead, they can be an energy supplier⚡  Emerald AI's Conductor platform, developed using the NVIDIA Vera Rubin DSX AI Factory reference design, is leading the way for power-flexible AI factories — built to come onto the grid faster without impacting existing power needs.

Every AI response you've ever gotten started with an electron. ⚡ In a recent interview with Sequoia Capital, Jensen Huang described AI infrastructure as a five-layer cake, and at the very bottom, before chips, before data centers, before models, is energy. That's the binding constraint on the Intelligence Age: not compute, not software — watts. This is why NVIDIA calls AI factories the dynamos of our era. They take in electrons and send out tokens of intelligence. We're a few hundred billion dollars into what Jensen calls the largest infrastructure buildout in human history. Trillions more to go. The question isn't whether AI will scale. It's whether the energy grid can keep up. ⬆️

Congrats to @SpaceXAI on Grok 4.5 — trained on NVIDIA GB300 NVL72 systems and purpose-built for coding, agentic tasks, and knowledge work. This is what happens when world-class AI infrastructure meets world-class AI research.

Every company has specialized intelligence that sets it apart. With @langchain, we’re helping enterprises turn that knowledge into specialized agents they can customize, secure and improve over time.

Before a robot can change the world, it needs software that builders can trust. NVIDIA robotics engineer Jaiveer Singh leads the team behind Isaac ROS, an open source platform helping developers build autonomous mobile robots, manipulation systems and humanoids with modular, CUDA-accelerated libraries and AI models. “When more people can build robots,” he says, “the future gets here faster.”

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling. By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero. Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets. Learn more below ⬇️

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.

Huge congratulations to the @SpaceX team on a historic IPO debut. Fueling the next frontier of space and AI. 🌌 NVIDIA's partnership with SpaceX spans nearly a decade, from hand-delivering the world's first #NVIDIADGX-1# supercomputer in 2016 to the custom DGX Spark handoff at Starbase. Together, we've been pushing the boundaries of accelerated computing to help power the future of space exploration.

The next generation of AI builders brought the energy. 🦞 Jensen stopped by @SeoulNatlUni for a Build-a-Claw pop-up, packed with students, developers, and AI researchers building intelligent agents from the ground up.

Agents are becoming a new layer of enterprise software. Jensen Huang explains why companies like @Cadence, @CrowdStrike, @Dassault3DS, @PalantirTech, @SAP, @ServiceNow, @Siemens, and @Synopsys are building agents on NVIDIA, and why the opportunity for software partners is only growing.