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TECHNOLOGY AT A GLANCE

Explore the capabilities

Up to 1,000 TOP

Up to 1,000 TOPS at FP4 precision for demanding AI development workloads.

128GB unified memory

Shared memory for the CPU and GPU supports working with large AI models.

Local development

Connect from a Windows, Mac, or Linux computer to run AI workloads on your own hardware.

Integrated AI tools

NVIDIA DGX OS and the HP ZGX Toolkit help streamline development, model export, and local serving.

Big AI performance. Tiny footprint.

Bring AI development into your workspace with the HP ZGX Nano. Powered by the NVIDIA GB10 Grace Blackwell Superchip and 128GB of unified memory, this compact system lets you prototype, fine-tune, and run AI models locally. NVIDIA DGX OS and the HP ZGX Toolkit help streamline your workflow, from experimentation to deployment.

Connectivity for Your AI Workspace

Connect your network, peripherals, and display through a compact set of rear-facing ports.

  • High-speed networking: 10Gb Ethernet and two QSFP connections rated at 200Gbps support compatible network and compute equipment.
  • USB-C data connections: Three 20Gbps USB-C ports connect peripherals and external storage.
  • Display connectivity: HDMI 2.1a connects a monitor for a local workspace.
  • Dedicated power input: A separate USB-C power connector supports the included 240W adapter.

SEE IT IN ACTION

Meet the product

TECHNICAL DETAILS

Built into the system

NVIDIA GB10 Grace Blackwell Architecture

The HP ZGX Nano G1n is powered by the NVIDIA GB10 Grace Blackwell Superchip, combining a Blackwell GPU with a 20-core Arm CPU. It delivers up to 1,000 TOPS of FP4 AI compute for local AI development, including prototyping, fine-tuning, and inference workloads.

128GB Coherent Unified Memory

128GB of onboard LPDDR5X unified memory is shared across the system for AI development and testing workloads. With memory bandwidth up to 273GB/s, the ZGX Nano is designed to work with AI models up to 200 billion parameters, depending on model architecture, precision, and workload.

Local AI Storage and Software

The 2TB PCIe Gen4 NVMe SSD provides fast local storage for models, datasets, and development files. NVIDIA DGX OS, based on Linux, and the NVIDIA AI software stack provide the environment for building, fine-tuning, and running AI workloads locally.

High-Speed Connectivity for AI Workflows

The system includes 10Gb Ethernet, two QSFP connections supporting 200Gbps signaling, three 20Gbps USB-C data ports, and HDMI 2.1a. These connections support high-speed networking, compatible AI and storage equipment, peripherals, and a local display.

Compact Desktop Workstation Design

The HP ZGX Nano fits dedicated AI compute into a 5.9 × 5.9 × 2.1-inch desktop footprint and weighs approximately 2.76 lb. It is air cooled and powered by a 240W external USB-C adapter, making it suitable for local development environments where space is limited.

Built for Local AI Development

Connect the ZGX Nano to a compatible Windows, Mac, or Linux computer to offload AI workloads without relying solely on cloud resources. HP ZGX Toolkit supports device discovery, local model serving, and export workflows for a more direct path from development to deployment.