- HP lately debuted a number of units that cater to AI builders at Computex, that are powered by Nvidia’s GPUs, together with the DGX Spark and the GB300 Grace Blackwell Extremely Desktop Superchip
- HP’s high-end deskside resolution, the ZGX Fury GB300, leverages Nvidia’s top-end GPU, providing up to trillion-parameter inference with up to 784GB of reminiscence
- The ZGX Fury GB300 is predicted to be out there to energy customers and AI fanatics later in 2026
Computex 2026 ends at the moment, and the apparent elephant in the room was AI, or how far it has come since ChatGPT was launched in November 2022.
The expo featured the “AI Collectively” theme and included keynotes from a number of business leaders, at the same time as Nvidia’s GTC 2026 bulletins ran parallel to the occasion.
Nvidia’s bulletins most notably included its DGX Station, a powerful supercomputer one can deploy deskside that provides compute comparable to small datacenters, thanks to its giant GB300 superchip and swathes of reminiscence it comes configured with.
A powerful, but expensive choice for AI
Nvidia introduced the DGX Station for Windows on the thirty first of Might 2026 at GTC Taipei to an viewers of over 30,000 attendees from over 190 international locations.
The DGX Station is marketed by Nvidia as a desk-side AI supercomputer that can handle up to 1 trillion parameters domestically, a feat beforehand solely succesful on devoted datacenter-class {hardware}, together with Nvidia’s DGX GB300 and its rack-scale GB300 NVL72 choices.
“As enterprises scale AI brokers throughout their organizations, they want AI infrastructure that can join immediately to the purposes and workflows that energy their enterprise,” stated Chris Marriott, vp of enterprise platforms at NVIDIA.
Not like a few of its extra reasonably priced (in AI phrases) options, resembling the DGX Spark, the DGX station, and options based mostly on it like HP’s ZGX Fury GB300 and Dell’s Professional Max GB300, are anticipated to price tons of of 1000’s of {dollars}, which is much from a shock for most of their supposed targets: enterprise shoppers.
These purchasers might require the trillion-parameter inference that these configurations can supply, or the skill to fine-tune multi-billion-parameter fashions to go well with their wants, typically by localizing knowledge to cut back reliance on the cloud.
Options resembling HP’s enterprise-focused DGX station, ZGX Fury GB300, include up to 784GB of coherent reminiscence and up to 20 petaflops FP4 compute for these duties, as well as to personalized enterprise networking options.
SVP and Division President, Superior Compute and Options, HP Inc., Jim Nottingham, chimed in on the matter, saying: “Over 70% of enterprise PCs run Windows, and our prospects have requested for AI supercomputing energy that can seamlessly combine into their present environments,” whereas confirming assist for Windows down the line.
HP stays mum on the price ticket, but one can infer that its pricing will carefully observe the DGX station itself, which has seen some resellers providing mid-range configurations for $94,000 or extra, with higher-end SKUs capping out at sub-$200,000.
It has additionally not disclosed a remaining launch date for the product, but it is predicted to launch alongside Nvidia DGX Station someday throughout This autumn 2026, along with different companions, together with Dell, MSI, ASUS, and Supermicro.
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