HP ZGX NANO G1n AI Mini NVIDIA GB10 Grace NVIDIA Blackwell 128GB 2TB NVIDIA DGX OS

The HP ZGX Nano G1n is a compact AI workstation designed to accelerate AI workflows with local high-performance computing. Powered by the NVIDIA GB10 Grace Blackwell Superchip, it combines a 20-core Arm CPU (10 Cortex-X925 and 10 Cortex-A725) with NVIDIA Blackwell GPU architecture, making it ideal for prototyping, fine-tuning, and inference.

With 128GB of LPDDR5x-8533 memory and a 2TB PCIe Gen4 NVMe SSD, this mini PC handles demanding AI models and datasets. It runs on NVIDIA DGX OS (Linux) and includes the ZGX toolkit for a curated open-source stack. Connectivity is future-proof with Wi-Fi 7 (802.11be) and Bluetooth 5.4, plus three USB 3.2 Gen 2x2 Type-C ports and HDMI 2.1a output.

Características principales

• NVIDIA GB10 Grace Blackwell Superchip with 20-core Arm CPU
• 128GB LPDDR5x-8533 memory (integrated)
• 2TB M.2 PCIe Gen4 NVMe SSD
• Wi-Fi 7 (802.11be) via MediaTek MT7925, Bluetooth 5.4
• 3x USB 3.2 Gen 2x2 Type-C, 1x HDMI 2.1a
• 280W power supply, compact 150mm cube chassis
• NVIDIA DGX OS (Linux) preinstalled

Especificaciones completas

Preguntas frecuentes

What processor does the HP ZGX Nano G1n use?

It uses the NVIDIA GB10 Grace Blackwell Superchip with a 20-core Arm CPU (10 Cortex-X925 and 10 Cortex-A725) and NVIDIA Blackwell GPU architecture.

How much memory and storage does it have?

It comes with 128GB of LPDDR5x-8533 memory and a 2TB M.2 PCIe Gen4 NVMe SSD.

What operating system is preinstalled?

It runs on NVIDIA DGX OS, a Linux-based operating system.

What connectivity options are available?

It includes Wi-Fi 7 (802.11be), Bluetooth 5.4, three USB 3.2 Gen 2x2 Type-C ports, and one HDMI 2.1a port.

Es para ti si...

• You need a compact AI workstation for local prototyping and inference.
• You require high memory bandwidth (128GB LPDDR5x) for large models.
• You want a business-ready AI PC with Linux and open-source stack support.