HP ZGX Nano G1n AI

Key features of the HP ZGX Nano G1n AI mini PC

Data centre performance in a miniature body

At the heart of the HP ZGX Nano G1n AI is the GB10 Grace Blackwell superchip—a unique combination of a 20-core ARM processor (10× Cortex-X925 + 10× Cortex-A725) and a Blackwell architecture GPU with 5th generation Tensor cores and 4th generation RT cores. Both parts of the superchip are connected by NVLink-C2C technology, which provides 5× higher throughput than PCIe 5th generation and lets the CPU and GPU share a single 128GB pool of unified LPDDR5X memory. The result is tremendous performance that consumes a maximum of 240W and fits on any desk. This shared memory, without the traditional separation of GPU VRAM and system RAM, is the key advantage of the HP ZGX Nano G1n AI over standard desktop builds. Where a GeForce RTX 5090 graphics card offers 32GB of memory, the HP ZGX Nano G1n AI makes four times that available for AI models, without needing to quantise or split models across multiple devices.

A personal supercomputer that fits on any desk

The HP ZGX Nano G1n AI proves that you no longer need a server room or a rack full of hardware to run the largest AI models. With dimensions of 150×150×50.5mm and a weight of 1.2kg, the HP ZGX Nano G1n AI fits on any desk next to your laptop—all while delivering performance that, just a few years ago, would have required an entire server full of graphics cards. Four USB-C 4.0 ports with speeds of up to 40Gb/s, Wi-Fi 7, 10Gb Ethernet, and an HDMI output ensure you can connect all your accessories without needing an external hub or docking station. The HP ZGX Nano G1n AI is designed for developers, scientists, and AI professionals who want the full power of a local personal AI supercomputer without relying on the cloud—right where they work.

NVIDIA AI software ecosystem and task management

The HP ZGX Nano G1n AI comes with pre-installed NVIDIA DGX OS—a specially optimised Linux distribution that includes the complete CUDA-X software stack, NVIDIA Container Toolkit, and Docker for an immediate start in developing and deploying AI models without a lengthy environment configuration. Access to the extensive NVIDIA NGC catalogue then provides pre-trained models, optimised containers, and ready-made reference applications that significantly shorten the time from first boot to a functional AI project.

Fine-tune AI models with up to 70 billion parameters

Use the 128GB of unified memory in the HP ZGX Nano G1n AI to fine-tune pre-trained models with up to 70 billion parameters right at your workstation. Training on your own data lets you specialise AI models for specific needs, industry data, or particular use cases—without sending sensitive data to the cloud or paying for expensive GPU instances. The result is a model precisely tailored to your scenario, created locally, securely, and under your full control.

HP ZGX Nano G1n AI delivers top-level data science

The combination of 128GB of unified memory and 1 PFLOP of performance in parallel throughput makes the HP ZGX Nano G1n AI the ideal workstation for demanding data analytics and machine learning projects. Large datasets, complex computational models, and demanding training and analysis processes that previously required a powerful cloud cluster or dedicated server can now run right on your desk. Fast, local, and without waiting for remote infrastructure.

Inference of models with up to 200 billion parameters

5th generation Tensor cores with FP4 format support achieve up to 1 PFLOP of performance and, combined with 128GB of system memory, run inference on state-of-the-art AI models with up to 200 billion parameters right on your desktop. Test, verify and deploy models like Llama, Gemma or Qwen locally and in real time – without cloud latency, without a shared infrastructure, and without the risk of sensitive data leaks.

Application development for robotics, industry and smart cities

The HP ZGX Nano G1n AI is an exceptional platform for developing robotic systems, smart city solutions, and computer vision applications. Pre-installed NVIDIA Isaac frameworks for robotics, Metropolis for video analysis, and Holoscan for real-time data processing, let developers fully utilise the power of the HP ZGX Nano G1n AI to quickly prototype and deploy applications – locally, without relying on cloud infrastructure, and with full support from the NVIDIA ecosystem.