HP has started sales of the ZGX Fury G1n AI Station workstation in the US market. The device is positioned not as a desktop PC for mass consumers, but as a specialized system for organizations that require local execution of artificial intelligence models. At the heart of the machine is the Nvidia GB300 Grace Blackwell Ultra Superchip platform, and the total available memory reaches 748 GB — a figure that makes the system one of the highest-capacity in its class for large language model inference.
Nvidia GB300 Platform and Record Memory Capacity
The heart of the workstation is the Nvidia GB300 superchip, which combines a 72-core Neoverse V2 Grace Arm processor and a Blackwell Ultra graphics accelerator. The 496 GB of LPDDR5X RAM provides a bandwidth of up to 396 GB/s, while the 252 GB of HBM3e video memory delivers up to 7.1 TB/s. In total, the system features 748 GB of memory, allowing it to perform inference on AI models up to one trillion parameters in size with FP4 quantization. AI performance in FP4 format, according to the manufacturer, reaches 20 PFLOPS.
Three Configurations and Price Range
HP is releasing the ZGX Fury in three configurations. The base model is limited to the integrated Blackwell Ultra GPU, while the two higher-end versions are supplemented with discrete Nvidia RTX PRO Blackwell series graphics cards. The configuration with the RTX PRO 2000 and 16 GB of GDDR7 memory is priced at $133,000, while the RTX PRO 4000 Blackwell SFF variant equipped with 24 GB of memory costs $136,000. The starting price of the lineup, according to the announcement, begins at $132,000.
Chassis, Cooling, and Interfaces
The workstation is built in a tower chassis with liquid cooling; if necessary, it can be installed in a server rack, where it takes up 5U. It supports storage drives with a total capacity of up to 32 TB, and the board features three PCIe 5.0 expansion slots and two QSFP112 ports with a bandwidth of 400 Gbps each. A 1600W power supply unit is used for power, and the software package includes the Ubuntu 24.04 LTS operating system and a set of Nvidia tools.
Target Audience and Power Requirements
The ZGX Fury G1n AI Station is targeted at companies and research teams for whom local, rather than cloud-based, AI execution is critical. An important practical limitation is the power grid requirement: the system requires a 200–240V power line, which is uncommon in the US and may require the buyer to prepare separate infrastructure. Thus, HP offers a niche yet powerful solution for local inference of ultra-large models, where memory capacity and bandwidth become key performance factors.
