Skip to product information
ZGX Nano G1n AI Station, NVIDIA DGX ™ OS, NVIDIA 128GB RAM, 1TB SSD, AI Workstation; AI PC
Accelerate AI workflows with HP ZGX Nano and ZGX Toolkit[1], high-performance local compute combined with a curated open-source stack for prototyping, fine-tuning and inferencing. Built-in IP discovery, model export and local serving reduce friction, ensuring repeatable, deployment-ready results.
HP ZGX Nano G1n AI GB10 128 GB LPDDR5x-SDRAM 1 TB SSD Linux Mini PC Workstation AI Workstation, AI PC Black
MPN:
CZ9K1ET#ABU
In stock: 89
£3,471.65
VAT included.
Shipping calculated at checkout.
Details
Key Features
- NVIDIA GB10 Grace Blackwell Superchip (20-core Arm, 10 Cortex-X925 and 10 Cortex-A725)
- NVIDIA DGX ™ OS
- NVIDIA Blackwell GPU Architecture
- 128 GB LPDDR5x-8533 MT/s (onboard), 1 TB PCIe Gen4 NVMe™ TLC SED M.2 SSD
Reasons To Buy
NVIDIA® DGXTM OSand AI softwarestack
Hit the ground prototyping, fine-tuning, and inferencing with familiarNVIDIA® DGXTM OS and integrated NVIDIA® AI software stack purpose-built for modern AI development.NVIDIA® GB10 GraceBlackwell Superchip
Get up to 1000 TOPS of AI compute at FP4 precision with an NVIDIA®Blackwell GPU. Supercharge data preprocessing and orchestration with aGrace 20-core Arm CPU.[3]Unified systemmemory
Run AI development and testing workloads with AI models of up to 200billion parameters at your desk with 128 GB of coherent unified systemmemory.NVIDIA® ConnectX™ Networking
Work with even larger AI models locally—up to 405 billion parameters—by connecting two HP ZGX Nano systems together to scale localcompute resources.[4]Tiny AI powerhouse
Measuring at 150mm L x 150mm W x 51mm H,5 this new class ofdesktop is purpose-built for AI development yet fits in the palm of yourhand.[5]Big AI performance. Tiny footprint.
Prototype, fine-tune, and inference models of up to 200B parameters locally. Powered by NVIDIA® GB10 Grace Blackwell Superchip[2] and 128 GB of coherent unified memory, the HP ZGX Nano delivers 1,000 TOPS of FP4 AI performance in a compact desktop.HP ZGX Toolkit: Accelerate time to results
Move from idea to deployment faster. The ZGX Toolkit[1] streamlines AI workflows by pairing powerful local compute with open-source tools, built-in discovery, and easy export—helping teams cut friction, boost productivity, and scale results anywhere.Offload AI workloads without the cloud
Pair existing laptop and desktop systems—Windows, Mac, or Linux—with a network-connected HP ZGX Nano. Get developer-grade performance without data center queues and costly cloud instances, minimizing latency and keeping sensitive information local.Advance edge AI solutions
Realize the true potential of edge AI solutions. From real-time computer vision to running agentic and domain-specific models locally, get the performance needed to deploy intelligent, responsive solutions directly where data is generated.Description
AI supercomputing goes NanoAccelerate AI workflows with HP ZGX Nano and ZGX Toolkit[1], high-performance local compute combined with a curated open-source stack for prototyping, fine-tuning and inferencing. Built-in IP discovery, model export and local serving reduce friction, ensuring repeatable, deployment-ready results.
Specifications
| Processor | |
|---|---|
| Processor model | GB10 |
| Processor manufacturer | Nvidia |
| Processor cores | 20 |
| Neural processor unit (NPU) | |
| Copilot+ PC | No |
| Memory | |
| Internal memory | 128 GB |
| Maximum internal memory | 128 GB |
| Internal memory type | LPDDR5x-SDRAM |
| Memory clock speed | 8533 MHz |
| Storage | |
| Storage media | SSD |
| Number of storage drives installed | 1 |
| Optical drive type | No |
| SSD interface | PCI Express 4.0 |
| SSD capacity | 1 TB |
| Number of SSDs installed | 1 |
| Total storage capacity | 1 TB |
| SSD form factor | M.2 |
| Total SSDs capacity | 1 TB |
| NVMe | Yes |
| Graphics | |
| Discrete graphics card | No |
| On-board graphics card | Yes |
| Discrete graphics card model | Not available |
| On-board graphics card model | NVIDIA Blackwell |
| On-board GPU manufacturer | NVIDIA |
| Optical drive | |
| Optical drive type | No |
| Network | |
| Ethernet LAN | Yes |
| Wi-Fi | Yes |
| Bluetooth | Yes |
| Bluetooth version | 5.4 |
| Wi-Fi standards | Wi-Fi 7 (802.11be) |
| Ethernet LAN data rates | 10,100,1000,200000 Mbit/s |
| WLAN controller model | MediaTek MT7925 |
| Top Wi-Fi standard | Wi-Fi 7 (802.11be) |
| Antenna type | 2x2 |
| WLAN controller manufacturer | MediaTek |
| Ports & interfaces | |
| Thunderbolt 3 ports quantity | 0 |
| HDMI version | 2.1a |
| HDMI ports quantity | 1 |
| Ethernet LAN (RJ-45) ports | 1 |
| USB 3.2 Gen 2x2 Type-C ports quantity | 3 |
| Technical details | |
| Product type | Workstation |
| Product colour | Black |
| Chassis type | Mini PC |
| UNSPSC-code | 43211515 |
| HP GTIN (EAN/UPC) | 199764775986 |
| Design | |
| Product colour | Black |
| Chassis type | Mini PC |
| Introduction year | 2025 |
| Certified refurbished | No |
| Performance | |
| Product type | Workstation |
| Software | |
| Operating system installed | Linux |
| Copilot+ PC | No |
| Brand-specific features | |
| HP segment | Business |
| HP Artificial Intelligence | AI Workstation, AI PC |
| HP GTIN (EAN/UPC) | 199764775986 |
| Power | |
| Power supply input frequency | 50 - 60 Hz |
| Power supply input voltage | 100 - 240 V |
| Weight & dimensions | |
| Package width | 216 mm |
| Package depth | 142 mm |
| Package height | 272 mm |
| Width | 150 mm |
| Depth | 150 mm |
| Height | 150 mm |
| Package weight | 2.5 kg |
| Weight | 1.25 kg |
| Packaging data | |
| Package width | 216 mm |
| Package depth | 142 mm |
| Package height | 272 mm |
| Package weight | 2.5 kg |
| Packaging content | |
| Display included | No |
| Display | |
| Display included | No |
| Other features | |
| On-board graphics card | Yes |
| Processor manufacturer | Nvidia |
| UNSPSC-code | 43211515 |
Shipping Policy
Orders are delivered within 2-4 business days. For more specific information, please read our Shipping Policy
Return and Refund Policy
You have 14 days from the date you receive your order to notify us that you wish to return an item. For more specific information, please read our Return and Refund Policy