HP ZGX Nano G1n AI Station | NVIDIA GB10 Blackwell | 128GB | CZ2V8UT
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- NVIDIA GB10 Grace Blackwell Superchip — Up to 1,000 TOPS of AI compute for local LLM inference, model training, and AI-accelerated workflows
- 128GB LPDDR5 Unified Memory — High-bandwidth memory shared between CPU and GPU for large model inference and data-intensive AI pipelines
- 1TB / 2TB / 4TB NVMe SSD — Fast local storage for AI model repositories, large datasets, and development environments
- NVIDIA Blackwell GPU — Next-generation GPU architecture optimized for generative AI, deep learning, and high-performance compute
- Gigabit Ethernet — Reliable wired connectivity for enterprise network integration and data ingestion
- NVIDIA DGX OS — HP-customized DGX OS environment with CUDA, TensorRT, and full AI software stack pre-configured
- Ultra-Compact Nano Form Factor — Full AI workstation performance in a minimal desktop footprint for office, lab, and edge deployments
- HP Enterprise Engineering — Commercial-grade build quality and support for professional deployment
The HP ZGX Nano G1n AI Station is HP’s compact AI workstation powered by the NVIDIA GB10 Grace Blackwell Superchip — delivering data center-class AI compute in a nano-sized desktop chassis. With 128GB of LPDDR5 unified memory and up to 4TB of NVMe SSD storage, it runs large language models, AI inference workloads, and generative AI pipelines locally — reducing cloud dependency and delivering predictable compute costs. The HP-customized DGX OS environment arrives pre-configured with CUDA, TensorRT, PyTorch, and full container support for immediate AI development.
The ultra-compact nano form factor fits on any desk or in any lab environment without requiring rack infrastructure, while Gigabit Ethernet provides stable, reliable enterprise network connectivity. Backed by HP’s commercial engineering standards, the ZGX Nano G1n combines NVIDIA’s latest Blackwell AI platform with HP’s enterprise reliability and support ecosystem — a complete solution for AI developers, data scientists, and research teams deploying local AI at scale.
Ideal For
- Local LLM Inference & Fine-Tuning — Run large language models locally without cloud API dependency or per-token costs
- AI Research & Development — Full CUDA/TensorRT ecosystem for model development, testing, and deployment
- Edge AI Deployment — Compact form factor for deploying GPU-accelerated AI at the edge or in the office
- Data Science & Machine Learning — 128GB unified memory for large dataset processing and model training
- Enterprise AI Prototyping — HP commercial reliability with NVIDIA Blackwell AI performance
Variant Options
- 1TB SSD — MPN: CZ2V2UT#ABA
- 2TB SSD — MPN: D10NPUT#ABA
- 4TB SSD — MPN: CZ2V8UT#ABA
Specifications
- Processor — NVIDIA GB10 Grace Blackwell Superchip
- GPU — NVIDIA Blackwell (integrated)
- Memory — 128GB LPDDR5 (unified CPU+GPU)
- Storage Options — 1TB / 2TB / 4TB NVMe SSD
- Networking — Gigabit Ethernet
- OS — NVIDIA DGX OS (HP customized)
- Form Factor — Ultra-compact nano workstation
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Shipping & Rerturns
Shipping & Rerturns
• Shipping: Orders are processed within 1–2 business days. Standard delivery takes 3–7 business days depending on your location.
• Returns: You may return or exchange products within 30 days of receiving your order. Items must be in original condition with proof of purchase.
If your item is defective or damaged due to manufacturing issues, we’ll gladly replace it at no additional cost.
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How long does it take to process an order?
How long does it take to process an order?
Orders are typically processed within 1–2 business days. You will receive a confirmation email with tracking details once your order has been shipped. Please note that processing times may be slightly longer during high-demand periods or sales events.
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Do you ship internationally?
Currently, we only ship within the U.S. For international inquiries, please contact our support team.
What is your return policy?
What is your return policy?
We accept returns within 30 days of delivery. To be eligible, items must be unused, in their original packaging, and accompanied by proof of purchase. If the item is faulty or damaged, please contact us for further instructions. For returns due to reasons other than product defects or our error, customers are responsible for return shipping costs.

