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European Ecosystem Builds World’s Most Efficient AI Factories With NVIDIA DSX

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NVIDIA DSX reference designs use closed-loop liquid cooling and dry coolers to enable near-zero facility cooling water consumption, with potential savings of 54 million liters a…

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NVIDIA Launches OpenShell Reference Architecture for Safe AI Agents

NVIDIA today announced the NVIDIA OpenShell Reference Architecture, which enables building, containing, observing and enforcing safe agents on enterprise infrastructure and edge systems.

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Achieve Productive AI Capacity Faster and More Predictably with NVIDIA DSX POD

AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bring an interconnected system of compute,…

AI factories turn energy into intelligence. But before an AI workload can produce its first token, operators must bring an interconnected system of compute, networking, storage, power, cooling, and software online as one productive unit. In a conventional data center build, teams must first select the site, design power and cooling for the deployment, lay out the data center…

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Developing an AI Factory Digital Twin with an Agent-Assisted Workflow

Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requirements into a consistent model that teams…

Building an AI factory digital twin requires developers to bring site plans, equipment assets, and engineering requirements into a consistent model that teams can inspect, revise, and prepare for simulation. Connecting these inputs into an editable workflow helps teams explore design alternatives and incorporate engineering feedback as the design evolves. The NVIDIA Omniverse DSX Blueprint…

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How NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale

Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex…

Autonomous agents can work for hours on complex tasks, accessing files, tools, the internet, and spawning other agents to collaborate with. Executing complex tasks over long time horizons leads to compounding risk: the agents may download code, build new tools, request additional privileges, and touch more of the underlying infrastructure. The agents’ action paths are determined as they work…

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Inside NVIDIA Sentry: Secure AI Agents at Runtime

NVIDIA BlueField chip beneath icons representing AI protection, traffic control, monitoring, data security, and a firewall.An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can circumvent security controls while using…NVIDIA BlueField chip beneath icons representing AI protection, traffic control, monitoring, data security, and a firewall.

An AI agent can complete its assignment and still cross a security boundary. Recent incidents show that agents can circumvent security controls while using tools, credentials, and services to pursue their assigned goals. Monitoring and enforcement need to operate outside the agent’s reach so that it can’t alter or disable them. NVIDIA Sentry is a security software framework that monitors AI…

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NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation

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FairStress: A deeper evaluation of fairness in LLM decision-making

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Hugging Face ❤️ TorchTPU: TPUs, Natively

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ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model