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HP announces the most powerful Windows AI PC ever built -- Nvidia GB300 workstation can handle one trillion parameters thanks to its 784GB unified memory, but it won't be cheap
* HP recently debuted multiple devices that cater to AI developers at Computex, which are powered by Nvidia's GPUs, including the DGX Spark and the GB300 Grace Blackwell Ultra Desktop Superchip * HP's high-end deskside solution, the ZGX Fury GB300, leverages Nvidia's top-end GPU, offering up to
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NVIDIA DGX Station for Windows Puts a Trillion-Parameter AI Supercomputer on Every Enterprise Desk
* NVIDIA announces DGX Station for Windows -- the world's most powerful deskside AI supercomputer for developing and running agents on Windows -- built on the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, coming in Q4 this year. * DGX Station brings frontier AI agents to Windows --
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With DGX Station for Windows, Nvidia squeezes 1 trillion-parameter AI supercomputer into a deskside form factor
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
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Nvidia unveiled the DGX Station for Windows at GTC Taipei, bringing data center-class AI infrastructure to individual desks. Built on the GB300 Grace Blackwell Ultra chip with up to 748GB of memory, the system can run trillion-parameter AI models locally. HP, Dell, and other partners will launch versions starting Q4 2026, with prices expected to reach six figures for enterprise deployments.
Nvidia announced the DGX Station for Windows at GTC Taipei on May 31, 2026, marking a shift in how enterprises deploy AI infrastructure
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. The deskside AI supercomputer addresses a longstanding friction point for enterprise AI development: the gap between Linux-based data center infrastructure and the Windows environments where most Fortune 500 companies operate daily3
. Chris Marriott, vice president of enterprise platforms at Nvidia, explained that "as enterprises scale AI agents across their organizations, they need AI infrastructure that can connect directly to the applications and workflows that power their business"2
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Source: NVIDIA
The AI supercomputer is built on the Nvidia GB300 Grace Blackwell Ultra Desktop Superchip, connecting a Blackwell Ultra GPU to a 72-core Nvidia Grace CPU via NVLink-C2C interconnect
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. This configuration delivers up to 748GB of coherent unified memory and up to 20 petaflops of FP4 performance, enabling local AI inference for trillion-parameter AI models that previously required dedicated data center hardware1
. The system can run hundreds of AI agents simultaneously, supporting both frontier model development and multi-agent deployments2
. For enterprise users requiring visualization capabilities, the DGX Station for Windows can pair with an Nvidia RTX Pro 6000 Blackwell Workstation GPU for ray-traced simulation alongside AI compute3
.HP showcased its enterprise-focused Windows AI PC variant, the HP ZGX Fury GB300, at Computex 2026, featuring up to 784GB of memory and customized enterprise networking solutions
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. Jim Nottingham, SVP and Division President of Advanced Compute and Solutions at HP, noted that "over 70% of enterprise PCs run Windows, and our customers have asked for AI supercomputing power that can seamlessly integrate into their existing environments"1
. Dell, ASUS, MSI, and Supermicro will also launch GB300-based systems during Q4 20261
. While HP remains silent on exact pricing, resellers have offered mid-range DGX Station configurations starting at $94,000, with higher-end models approaching $200,0001
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Developed in collaboration with Microsoft, the DGX Station for Windows supports Nvidia OpenShell on Windows, built on new Windows security and containment primitives
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. This allows enterprise AI development teams to fine-tune models and deploy AI agents within isolated sandbox environments, enforcing security policies at the system level rather than relying on behavioral prompts3
. Pavan Davuluri, executive vice president of Windows + Devices at Microsoft, stated the partnership "scales the full power of Windows from thin-and-light PCs to data center-class workstations"2
. The system also features ConnectX-8 SuperNIC supporting up to 800Gb/s networking, enabling organizations to link multiple DGX Station systems for even larger AI infrastructure deployments3
. This architecture matters for enterprises seeking to localize sensitive data and reduce cloud reliance while maintaining the compliance and fleet management tools they already use1
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