The official handle for NVIDIA. Blog: blogs.nvidia.com Support: nvda.ws/2ei5pio All our social media: nvda.ws/2wmlfGB
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“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:
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Watch the full interview: cnbc.com/video/2026/09/28/wa…
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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: nvda.ws/47koVGz
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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:
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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NVIDIA retweeted
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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Read the story ⬇️ blogs.nvidia.com/blog/open-p…
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Watch Jensen's full conversation on The Ezra Klein Show: piped.video/HjurAWAr_nY
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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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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.
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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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Watch the extended interview ⬇️ cbsnews.com/video/extended-i…
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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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