NVIDIA

AI agents are taking on more critical work. The security behind them needs stronger boundaries. We’re building the NVIDIA Open Agent Safety Platform with partners across the industry to help people put agents to work with greater confidence. Hear from @JensenHuang:

We’ve launched NVIDIA Open Agent Safety Platform to help people control what AI agents can access and do. Agents can write code, use tools, and work on complex tasks for hours or days. That work requires access to data and systems, along with clear limits on how they’re used. NVIDIA OpenShell enforces permissions around the agent’s work. BlueField-4 and DOCA add independent monitoring and security controls in the infrastructure, outside the agent’s reach. Vera CPUs power the work itself. Together, these technologies give teams a foundation for putting agents to work with defined permissions, oversight, and protection. Explore the platform: https://nvda.ws/47koVGz

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.

“I’m a responsible optimist.” AI’s potential comes with a responsibility to build and deploy it safely. Our CEO @JensenHuang explains why that responsibility led us to build NVIDIA OpenShell and bring the industry together around agent safety. 🎥 from @SquawkCNBC:

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.

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. https://x.com/EntrepreneursAI/status/2102028297794429183/video/1

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 🧵

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.

The next decade of driving, built together. We’re expanding our strategic partnership with @MercedesBenz AG to develop the next generation of driver assistance and automated driving systems. All while upholding the high safety standards expected from a Mercedes-Benz. Learn more about the collaboration: https://nvda.ws/3WtfQJi

Congratulations to our CEO @JensenHuang on receiving the National Medal of Science for advancing GPU computing to power scientific breakthroughs. And to fellow honorees Elon Musk, Lisa Su, Michael Dell, Satya Nadella, and Sergey Brin.

AI builders need computing capacity they can put to work sooner. We introduced DSX POD at NVIDIA GTC Berlin: AI factories integrated and tested before delivery, enabling deployment at prepared sites in as little as 14 days.

Today, we’re expanding our Nemotron family of open models with Nemotron 3.5 Super VL.  Bringing visual understanding, reasoning, and tool use together to help AI agents complete more work in less time.  Open models ➡️ more control to customize, deploy, and build on your own terms. Dive into what’s new: