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Will agentic AI governance run amok? The lesson of Asimov’s Three Laws - SiliconANGLE AI + quantum, Amazon vs. Starlink and the wide-open US-China internet battle - SiliconANGLE Team Cymru launches Total Insights Feed to replace legacy threat intelligence lists - SiliconANGLE AI Mode in Chrome adds split-screen view to enhance the web search experience - SiliconANGLE Resolve AI raises $40M at $1.5B valuation to optimize production environments - SiliconANGLE How Zscaler and OpenAI turn zero-trust security into an AI accelerator - SiliconANGLE OpenAI ratchets up Codex's agentic capabilities to rival Claude Code - SiliconANGLE Anthropic launches Claude Opus 4.7 with coding, visual reasoning improvements - SiliconANGLE Slash raises $100M at a $1.4B valuation to expand AI-powered banking platform for online businesses - SiliconANGLE Canva unveils Canva AI 2.0, recasting its platform as an agentic system for work - SiliconANGLE Data center, consumer device chips boost TSMC’s revenue - SiliconANGLE Mission-critical security cannot be bolted on, says Oracle - SiliconANGLE Agentic infrastructure reshapes enterprise AI - SiliconANGLE Data quality, and data freedom, foundational for AI success - SiliconANGLE Data trust is a bedrock in successful, scalable AI outcomes - SiliconANGLE Google introduces new agentic AI-ready tools and resources for Android developers  - SiliconANGLE Agentic AI orchestration separates winners from laggards - SiliconANGLE Data-driven tools turning the tide against human trafficking - SiliconANGLE Achieving trusted AI development goes beyond 'vibes' - SiliconANGLE Impinj boosts edge computing power in updated R700 RAIN RFID reader - SiliconANGLE Certinia powers professional services with AI - SiliconANGLE Antioch prepares to accelerate simulated testing for autonomous robots after raising $8.5M - SiliconANGLE Developer tooling startup Expo nabs $45M investment - SiliconANGLE Solidroad lands $25M to bring AI to customer support interactions - SiliconANGLE DuploCloud lands compliance and AI governance certifications as enterprise buyers tighten scrutiny - SiliconANGLE Lua lands $5.8M to help businesses build and manage AI agent workforces - SiliconANGLE Best of frenemies: Oracle's and AWS' clouds unite with dedicated, private connectivity - SiliconANGLE NIST shifts National Vulnerability Database to risk-based triage as CVE submissions hit record levels - SiliconANGLE Cisco goes to the races with new Churchill Downs multiyear partnership - SiliconANGLE Susecon 2026 will tackle the future of open-source platforms - SiliconANGLE Seriously? 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With DGX Station for Windows, Nvidia squeezes 1 trillion-parameter AI supercomputer into a deskside form factor - SiliconANGLE
by Mike Wheatley · 2026-06-01 · via SiliconANGLE

With DGX Station for Windows, Nvidia squeezes 1 trillion-parameter AI supercomputer into a deskside form factor

Nvidia Corp. says it’s uprooting supercomputers from the vast, sprawling data center complexes they normally live inside and squeezing them into compact, desktop-sized workstations that can sit on or aside the desks of individual developers, researchers and data scientists.

That’s the idea behind the new Nvidia DGX Station for Windows, which is said to be the world’s first “deskside AI supercomputer.” Announced today at GTC Taipei concurrent with the Computex conference, it’s slated to launch in the fourth quarter, and specifically designed for building and running powerful, always on AI agents that can automate workflows within Windows ecosystems.

The system was developed in close collaboration with Microsoft Corp. and delivers data center-grade AI infrastructure into the desktop or deskside form factor for the first time. It supports Nvidia OpenShell on Windows, a secure, open-source agentic runtime that integrates Microsoft’s security and container technology to ensure agents can run safely within isolated sandbox environments.

Nvidia says it’s addressing a major friction point for enterprise developer teams. Traditionally, the heaviest-duty AI workloads, such as model training, fine-tuning and large-scale inference have been run in Linux-based cloud data centers that have the necessary infrastructure to support them.

However, the bulk of the Fortune 500 runs much of its everyday business operations and engineering workflows locally on Windows-based systems. By bringing its latest architecture to the Windows ecosystem, the DGX Station eliminates the need for teams to push early-stage AI workloads to the cloud, so they can instead build and deploy powerful AI agents locally while leveraging the tools and security infrastructure they trust.

Nvidia Vice President of Enterprise Platforms Chris Marriott said enterprises require specialized infrastructure that allows them to connect AI agents directly to the applications and workflows that drive their business. “DGX Station delivers supercomputing-class AI directly into Windows, where millions already design, engineer, research and create every day.”

The DGX Station for Windows is powered by Nvidia’s GB300 Grace Blackwell Ultra Desktop Superchip, which is a customized version of the Grace Blackwell platform for rack-scale data centers. It packages a Blackwell Ultra graphics processing unit with an Nvidia Grace central processing unit that’s connected via NVLink-C2C interconnect.

All told, the system provides 20 petaflops of FP4 performance and up to 748 gigabytes of memory. With such immense computing power, the DGX Station for Windows can run frontier models of up to 1 trillion parameters locally, or support hundreds of parallel AI agents running simultaneously on the same platform.

But that’s just the basic setup. For customers that need to run intensive simulations or visualization workflows, DGX Station for Windows can be paired with an additional Nvidia RTX Pro 6000 Blackwell Workstation GPU, enabling “physical AI workflows” that combine powerful compute with ray-tracing capabilities. This supports the creation of AI agents that can not only perceive, but interact with virtual environments that support lifelike physics.

For even more power, customers can link multiple DGX Station for Windows systems over Nvidia ConnectX-8 SuperNIC to create their very own integrated clusters of desktop supercomputers and run much larger workloads, Nvidia said.

Because every agent runs in Nvidia’s OpenShell runtime environment, they can be set up to run within tight boundaries and with strict security guardrails in place. Instead relying on easily bypassed behavioral system prompts, OpenShell leans on Windows’ security primitives to create isolated sandbox environments for each agent.

When users do this, their agents’ security and privacy policies will be enforced at the system level, preventing them from overriding corporate policy or leaking credentials and sensitive information. OpenShell also makes it possible for administrators to manage their agents using Microsoft’s fleet management tools. Meanwhile, the Windows Subsystem for Linux ensure compatibility with Linux toolchains.

Microsoft’s Pavan Davuluri, executive vice president of Windows + Devices, said the launch of DGX Station for Windows builds on a decades-long partnership between the two companies. “Today we’re taking that collaboration to the next level, scaling the full power of Windows from thin-and-light PCs to data center-class workstations,” he said. “This unlocks a new class of AI performance on Windows.”

Nvidia said the DGX Station for Windows will become available before the end of the year. It will come in a range of flavors, with systems made by partners including Dell Technologies Inc., HP Inc., ASUSTeK Computer Inc., Micro-Star International Co. Ltd., Super Micro Computer Inc. and others.

Image: Nvidia

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