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HP ZGX Nano G1n AI Station

Rent the HP ZGX Nano G1n AI Station for local AI development, generative AI, LLM experimentation, machine learning and GPU-accelerated development — with the NVIDIA GB10 Grace Blackwell Superchip, 128 GB unified memory and 200 GbE networking in a compact mini workstation.

Rent & Buy Built to order Mini workstation 2 configurations
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ConfigurationsFull specsRent or buyFAQ
NVIDIA GB10 Grace Blackwell

A 20-core Grace Blackwell superchip for local AI development

The HP ZGX Nano G1n AI Station is a compact AI-focused computing platform designed to bring NVIDIA Grace Blackwell architecture and a complete NVIDIA AI software environment to the desktop.

At its core is the NVIDIA GB10 Grace Blackwell Superchip, combining a 20-core Arm CPU (10 × Cortex-X925 and 10 × Cortex-A725) with an integrated Blackwell GPU featuring CUDA, Tensor and RT cores, and 128 GB of coherent unified memory with up to 273 GB/s bandwidth. The system runs NVIDIA DGX OS; Windows is not supported.

Ideal for

Generative AILarge language models (LLMs)AI model development & fine-tuningAI inference & prototypingMachine learning & deep learningData science & computer vision
Configurations · 2 options

Choose your configuration

The same HP ZGX Nano G1n AI Station platform in 2 ready-to-configure builds. Pick an option below, or ask us to tune one to your workload.

Config 1 · 4 TB

GB10 · 128 GB · 4 TB

GB10 20-core · 128 GB unified · Integrated Blackwell GPU

CPU
GB10 20-core
Memory
128 GB unified
GPU
Integrated Blackwell
GPU Mem
128 GB shared
Processor
NVIDIA GB10 Grace Blackwell Superchip — 20-core Arm CPU (10 × Cortex-X925 + 10 × Cortex-A725), integrated Blackwell GPU (CUDA, 5th Gen Tensor Cores, 4th Gen RT Cores)
Memory
128 GB LPDDR5x-8533 unified memory, 16-channel, 256-bit, up to 273 GB/s
Storage
4 TB PCIe NVMe SSD
Networking
NVIDIA ConnectX-7 with 2 × QSFP112 at up to 200 Gbps each; 10GbE RJ-45; Wi-Fi 7; Bluetooth 5.4
Power
240 W external USB Type-C adapter
OS
NVIDIA DGX OS
Get a quote for this option
Config 2 · 2 TB

GB10 · 128 GB · 2 TB

GB10 20-core · 128 GB unified · Integrated Blackwell GPU

CPU
GB10 20-core
Memory
128 GB unified
GPU
Integrated Blackwell
GPU Mem
128 GB shared
Processor
NVIDIA GB10 Grace Blackwell Superchip — 20-core Arm CPU (10 × Cortex-X925 + 10 × Cortex-A725), integrated Blackwell GPU (CUDA, 5th Gen Tensor Cores, 4th Gen RT Cores)
Memory
128 GB LPDDR5x-8533 unified memory, 16-channel, 256-bit, up to 273 GB/s
Storage
2 TB PCIe NVMe SSD
Networking
NVIDIA ConnectX-7 with 2 × QSFP112 at up to 200 Gbps each; 10GbE RJ-45; Wi-Fi 7; Bluetooth 5.4
Power
240 W external USB Type-C adapter
OS
NVIDIA DGX OS
Get a quote for this option
From the manufacturer datasheet

Complete platform specifications

The full specification for the HP ZGX Nano G1n AI Station platform. The two builds above are our lead configurations; the full platform specification is below — tell us your workload and we’ll tune one to it.

Platform & chassis

Form factor
Mini
Operating systems
NVIDIA DGX OS 7 / Ubuntu 24.04
Windows support
Not supported
Processor
NVIDIA GB10 Grace Blackwell Superchip (20-core Arm CPU: 10 × Cortex-X925 + 10 × Cortex-A725)
GPU architecture
NVIDIA Blackwell (CUDA, 5th Gen Tensor Cores, 4th Gen RT Cores)
AI performance
Up to 1,000 TOPS FP4
Unified memory
128 GB LPDDR5x-8533 MT/s, 16-channel, 256-bit, up to 273 GB/s
Storage options
2 TB or 4 TB PCIe NVMe M.2 SSD; PCIe Gen5 x4 internal slot
Networking
NVIDIA ConnectX-7 200 GbE Ethernet Controller (2 × QSFP112 at up to 200 Gbps each)
Additional LAN
Realtek RTL8127 10 GbE Ethernet Controller (1 × RJ-45 10GbE)
Wireless
Wi-Fi 7, 2×2; Bluetooth 5.4
Ports & connectors
Rear: 3 × USB Type-C 20 Gbps, 1 × HDMI 2.1a, 1 × RJ-45 10GbE, 2 × QSFP112 200 GbE, 1 × USB Type-C power connector
Display capability
Up to 8K (7680 × 4320); HDMI up to 30 Hz, USB-C DisplayPort up to 60 Hz
Dimensions (without feet)
15 × 15 × 5.1 cm (W × D × H)
Dimensions (with feet)
15 × 15 × 5.45 cm (W × D × H)
Weight
Starting at 1.25 kg
Power supply
240 W external USB Type-C adapter; up to 89% efficiency, active PFC
AI model capability
Local prototyping, fine-tuning and inference of models up to approximately 200B parameters
Multi-system scaling
Two ZGX Nano systems can be connected for models up to approximately 405B parameters
AI software
NVIDIA AI software stack and HP ZGX Toolkit

Processor options

1 option
  • NVIDIA GB10 Grace Blackwell Superchip20-core Arm CPU (10 × Cortex-X925 + 10 × Cortex-A725)
Rent or buy

Flexible on how you acquire it

The same configured, stress-tested machine — on the terms that fit your project and budget.

Rent

Short-term for a project sprint, or monthly and annual plans for ongoing teams — with support and rapid replacement built in.

Buy

Purchase outright with proper GST invoicing and warranty, configured to your applications and backed by our support desk.

Try, then decide

Not sure which spec? Rent it first, then apply the experience — and often the rental cost — to your purchase decision.

FAQ

Frequently asked questions

It is designed for local AI development and deployment: generative AI, large language model experimentation, AI inference, model fine-tuning, computer vision and data science. HP's materials rate it for up to 1,000 TOPS of FP4 AI performance and models of up to approximately 200 billion parameters, depending on workload and configuration.
No. The ZGX Nano runs NVIDIA DGX OS, purpose-built for AI development. Windows is not supported. It is ideal for teams already working with Linux, CUDA and the NVIDIA AI ecosystem.
Yes — it is available for short-term lease and workstation rental in Bengaluru, Chennai, Hyderabad, Noida, Pune, Gurgaon, Delhi NCR and Mumbai. A rental can include the GB10 superchip, 128 GB unified memory, NVMe SSD storage, 200 GbE and 10GbE networking, Wi-Fi 7 and required peripherals. It is built to order, so tell us your project duration and we'll confirm current lead times.

Configure your HP ZGX Nano G1n AI Station

Tell us your software, project type and timeline. Our engineers respond within one business day with a tested configuration and a clear rent-or-buy quote.

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