HP ZGX Nano NVIDIA GB10 Grace Blackwell, 128GB, 4TB, NVIDIA Blackwell, NVIDIA DGX OS Workstation, Mini, Black

The HP ZGX Nano Mini Workstation is a compact desktop for local AI workloads and high-performance computing. It allows teams to run low-latency inference, model fine-tuning, and large model experiments directly on the device. The system is powered by the 20-core NVIDIA GB10 Grace Blackwell Superchip, with integrated Blackwell-class graphics for specialized compute tasks. It comes with NVIDIA DGX OS preinstalled for immediate machine learning deployment. This local execution makes the device suitable for edge computing scenarios where on-site data handling is required.

The system features 128 GB of unified LPDDR5X SDRAM for handling large datasets. The memory runs at a clock speed of 8533 MHz to support rapid retrieval during local prototyping. Storage is provided by a 4 TB solid-state drive. Integrated speakers provide audio output, removing the need for external hardware. The workstation has a black finish suitable for professional office environments.

• Wi-Fi 7 (802.11be) and Bluetooth 5.4: Supports high-bandwidth wireless networking and low-latency peripheral pairing.
• Multi-gigabit Ethernet: Includes a wired RJ-45 port supporting data rates of 10,000 and 200,000 Mbit/s for fast network integration.
• USB connectivity: Features three USB 3.2 Gen 1 Type-A ports, with 5 Gbps transfer speeds for external drives and accessories.
• Video outputs: Equipped with one HDMI and three DisplayPort connections for multi-monitor setups.
• Mini PC form factor: Measures 150 × 150 × 54.5 mm (W × D × H), allowing it to fit in compact edge computing spaces.
• 240 W power supply: Provides the necessary power for demanding AI computing components under load.