HP ZGX Nano G1n AI Station
Powering the Next Wave of AI Innovation
A Grace Blackwell AI supercomputer on your desk.
Delivering the power of an AI supercomputer in a desktop-friendly size, HP ZGX Nano AI Station is ideal for AI developer, researcher, and data scientist workloads.
Develop, test, and validate AI models and applications.
With the NVIDIA AI software stack, HP ZGX Nano AI Station provides the platform for developers to create, test, and validate AI models and AI-augmented applications and solutions. For final tuning or deployment, conveniently evaluate work for eventual migration to NVIDIA cloud or other NVIDIA accelerated data centers or cloud infrastructures.
Fine-tune AI models up to 70 billion parameters.
Improve the performance of pre-trained models by fine-tuning on HP ZGX Nano AI Station. With 128GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases.
HP ZGX Nano AI Station’s combination of 128GB of unified memory and 1 petaFLOP of parallel throughput maximizes performance of large, computationally complex data analytics and machine learning workflows at your desk.
Test, validate, and inference with AI models up to 200 billion parameters.
Fifth-generation Tensor Cores with support for FP4 deliver up to 1 petaFLOP of AI computing performance, combined with 128GB of system memory, accelerate inference of state-of-the-art AI models to test, validate and deploy from your HP ZGX Nano AI Station.
Develop edge applications with NVIDIA AI frameworks, including Isaac™, Metropolis, and many others.
HP ZGX Nano AI Station offers an exceptional platform for developing robotics, smart city, and computer vision solutions. NVIDIA frameworks include Isaac, Metropolis, and Holoscan. These frameworks and tools enable developers to take advantage of the power of HP ZGX Nano AI Station to quickly develop edge applications.
HP ZGX Nano AI Station systems include NVIDIA ConnectX® networking, enabling developers to connect two systems for inference and fine-tuning of AI models up to 405 billion parameters. This configuration is optimized for local-scale deployments of large models like Llama 3.1, helping developers accelerate iteration without the cloud.
With shared architecture across the Nvidia platform, workloads built on HP ZGX Nano AI Station can be deployed seamlessly to the data center or NVIDIA Cloud when needed.
| Architecture | NVIDIA Grace Blackwell |
| GPU | Blackwell Architecture |
| CPU | 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm |
| CUDA Cores | Blackwell Generation |
| Tensor Cores | 5th Generation |
| RT Cores | 4th Generation |
| Tensor Performance1 | 1 PFLOP |
| System Memory | 128 GB LPDDR5x, coherent unified system memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | 273 GB/s |
| Storage | 1 TB NVME.M2 with self-encryption |
| USB | 4x USB TypeC |
| Ethernet | 1x RJ-45 connector 10 GbE |
| NIC | ConnectX-7 NIC @ 200 Gbps |
| Wi-Fi | WiFi 7 |
| Bluetooth | BT 5.4 |
| Audio-output | HDMI multichannel audio output |
| Power Supply | 240 W |
| GB10 TDP2 | 140 W |
| Display Connectors | 1x HDMI 2.1a |
| NVENC | NVDEC | 1x | 1x |
| OS | NVIDIA DGX™ OS |
| System Dimensions | 5.9" Depth x 5.6" Width x 2" Hight |
| System Weight | 2.65 Lb |
| Full technical specification | |
|---|---|
| Free Shipping | No |
