- HP recently launched several devices aimed at Computex AI developers that are 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, leverages Nvidia’s high-end GPU, offering up to 1 trillion inference parameters with up to 784 GB of memory.
- The ZGX Fury GB300 is expected to be available to power users and AI enthusiasts later in 2026.
Computex 2026 ends today, and the obvious elephant in the room was AI, or how far we’ve come since ChatGPT released in November 2022.
The expo featured the theme “AI Together” and included keynotes from several industry leaders, although Nvidia’s GTC 2026 announcements took place alongside the event.
Nvidia’s announcements included its DGX Station, a powerful desktop-deployable supercomputer that offers computing comparable to small data centers, thanks to its large GB300 superchip and the memory expanses it is configured with.
A powerful but expensive option for AI
Nvidia announced DGX Station for Windows on May 31, 2026 at GTC Taipei in front of an audience of over 30,000 attendees from over 190 countries.
The DGX Station is being marketed by Nvidia as a desktop AI supercomputer capable of handling 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 offerings.
“As companies scale their AI agents across their organizations, they need AI infrastructure that can connect directly to the applications and workflows that power their business,” said Chris Marriott, vice president of enterprise platforms at NVIDIA.
Unlike some of its more affordable (AI-wise) solutions, such as the DGX Spark, the DGX Station and solutions based on it, like HP’s ZGX Fury GB300 and Dell’s Pro Max GB300, are expected to cost hundreds of thousands of dollars, which is hardly a surprise to most of their targets: consumer businesses.
These customers may need the multi-billion parameter inference that these setups can offer, or the ability to fine-tune multi-billion parameter models to meet their needs, often by localizing the data to reduce reliance on the cloud.
Solutions such as HP’s enterprise 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 customized enterprise networking solutions.
Jim Nottingham, senior vice president and president of Advanced Compute and Solutions at HP Inc., weighed in on the topic, saying, “More than 70 percent of business PCs run Windows, and our customers have asked for AI computing power that can integrate seamlessly into their existing environments,” while confirming Windows support across the board.
HP is remaining tight-lipped on pricing, but we can infer that its pricing will closely follow the DGX station itself, which has seen some resellers offering mid-range configurations for $94,000 or more, with high-end SKUs capped at less than $200,000.
It also did not disclose a final release date for the product, but it is expected to launch alongside Nvidia DGX Station sometime in the fourth quarter of 2026, in conjunction with other partners including Dell, MSI, ASUS, and Supermicro.
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