- HP recently debuted several devices aimed at AI developers at Computex powered by Nvidia’s GPUs, including the DGX Spark and GB300 Grace Blackwell Ultra Desktop Superchip
- HP’s high-end desktop solution, the ZGX Fury GB300, leverages Nvidia’s top-end GPU and offers up to a trillion parameter inference with up to 784GB 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 it has come since ChatGPT was released in November 2022.
The exhibition featured the “AI Together” theme and included keynotes from several industry leaders, although Nvidia’s GTC 2026 announcements ran parallel to the event.
Nvidia’s announcements notably included its DGX Station, a powerful desktop supercomputer that offers computing comparable to small data centers thanks to its large GB300 superchip and parts of the memory it comes configured with.
A powerful but expensive option for artificial intelligence
Nvidia announced DGX Station for Windows on May 31, 2026 at GTC Taipei to an audience of over 30,000 attendees from over 190 countries.
The DGX Station is marketed by Nvidia as a desktop AI supercomputer that can handle up to 1 trillion parameters locally, a feat previously only capable of dedicated data center-class hardware, including Nvidia’s DGX GB300 and its rack-scale GB300 NVL72 offering.
“As enterprises scale AI agents across their organizations, they need 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 (in AI terms) solutions, such as the DGX Spark, the DGX Station, and solutions based on it such as HP’s ZGX Fury GB300 and Dell’s Pro Max GB300, they are expected to cost hundreds of thousands of dollars, which is far from a surprise to most of their intended target: enterprise consumers.
These clients may require the trillion-parameter inference that these configurations can offer, or the ability to fine-tune multi-billion-parameter models to suit their needs, often by localizing data to reduce reliance on the cloud.
Solutions such as HP’s enterprise-focused DGX station, the ZGX Fury GB300, come with up to 784 GB of contiguous memory and up to 20 petaflops of FP4 computing for these tasks, in addition to customized enterprise networking solutions.
SVP and division president, Advanced Compute and Solutions, HP Inc., Jim Nottingham weighed in, saying, “Over 70% of enterprise PCs run Windows, and our customers have been asking for AI supercomputing power that can be seamlessly integrated into their existing environments,” while confirming that Windows supports Windows.
HP remains mum on the price tag, but one can infer that its pricing will closely follow the DGX station itself, which has seen some retailers offer mid-range configurations for $94,000 or more, with higher SKUs under $200,000.
It also hasn’t revealed a final release date for the product, but it’s expected to launch alongside the Nvidia DGX Station sometime during Q4 2026 in collaboration with other partners including Dell, MSI, ASUS and Supermicro.
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