- HP recently unveiled several devices aimed at AI developers at Computex, powered by Nvidia GPUs, including the DGX Spark and the GB300 Grace Blackwell Ultra desktop superchip.
- HP’s high-end desktop solution, the ZGX Fury GB300, takes advantage of Nvidia’s high-end GPU and offers up to one trillion inference parameters with up to 784 GB of memory.
- The ZGX Fury GB300 is expected to be available for power users and AI enthusiasts later in 2026.
Computex 2026 ends today, and the obvious elephant in the room was AI, or how far it has come since ChatGPT launched in November 2022.
The expo featured the theme “AI Together” and included keynotes from multiple industry leaders, even as Nvidia’s GTC 2026 announcements ran parallel to the event.
Nvidia’s announcements notably included its DGX Station, a powerful supercomputer that can be deployed on the desktop and offers computing comparable to that of small data centers, thanks to its large GB300 superchip and the memory strips with which it comes configured.
A powerful but expensive option for AI
Nvidia announced DGX Station for Windows on May 31, 2026 at GTC Taipei to an audience of more than 30,000 attendees from more than 190 countries.
Nvidia markets the DGX Station as a desktop AI supercomputer that can handle up to 1 trillion parameters locally, a feat previously only possible on dedicated data center-class hardware, including Nvidia’s DGX GB300 and its rack-scale GB300 NVL72 offering.
“As companies scale AI agents across their organizations, they need an AI infrastructure that can connect directly to the applications and workflows that drive their business,” said Chris Marriott, vice president of enterprise platforms at NVIDIA.
Unlike some of its more affordable solutions (in terms of AI), such as DGX Spark, the DGX Station and solutions based on it, such as HP’s ZGX Fury GB300 and Dell’s Pro Max GB300, are expected to cost hundreds of thousands of dollars, which is far from a surprise to most of its intended targets: enterprise consumers.
These customers may require the trillion-parameter inference that these configurations can offer, or the ability to tune billion-parameter models to meet their needs, often localizing data to reduce reliance on the cloud.
Solutions like HP’s enterprise-focused DGX Station, ZGX Fury GB300, come with up to 784 GB of coherent memory and up to 20 petaflops of FP4 compute for these tasks, in addition to custom enterprise networking solutions.
HP Inc. Senior Vice President and President of Advanced Computing and Solutions Division Jim Nottingham weighed in on the matter, saying, “More than 70% of enterprise PCs run Windows, and our customers have been asking for AI supercomputing power that can integrate seamlessly into their existing environments,” while confirming support for Windows in the future.
HP isn’t saying anything about pricing, but it can be inferred that its pricing will closely follow the DGX station itself, which has seen some resellers offer mid-range configurations for $94,000 or more, with high-end SKUs capping out at less than $200,000.
It has also not revealed a final release date for the product, but it is expected to launch alongside the Nvidia DGX Station sometime during the fourth quarter of 2026, alongside other partners including Dell, MSI, ASUS, and Supermicro.
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