HP ZGX Nano AI Station G1N (GB10) / 4TB Storage + 128GB Unified System Memory
Price & Availability
Price: $10499.0 (Save $1050 from RRP $11549.0)
Description
The HP ZGX Nano AI Station G1N (GB10) is a compact AI workstation designed for developers, researchers, and professionals who need powerful local AI computing in a desktop-sized platform. Powered by the NVIDIA GB10 Grace Blackwell Superchip, it delivers advanced AI acceleration for model development, fine-tuning, inference, and generative AI workflows without relying entirely on cloud infrastructure. Equipped with 128GB unified memory and high-speed NVMe storage, it provides the bandwidth and capacity required for handling large AI models, datasets, and compute-intensive workloads. Built with enterprise-focused reliability and support for modern AI software environments, the HP ZGX Nano AI Station G1N offers a powerful, efficient solution for bringing AI development directly to the workstation. Key Features NVIDIA GB10 Grace Blackwell Superchip built for local AI workloads (from prototyping and fine-tuning to inference and data science) 20-core Arm CPU: 10× Cortex-X925 + 10× Cortex-A725 for strong multi-threaded compute and data prep tasks LPDDR5x coherent unified system memory for large models and high-throughput AI workflows (shared memory architecture) Gen5 NVMe SSD for high-capacity, high-speed local dataset/project storage
Key Specifications
CPU: 10 Cortex-X925 + 10 Cortex A725 (20-core Arm)
Chipset: NVIDIA® GB10 Grace Blackwell Superchip
Graphics-card: NVIDIA Blackwell Architecture
RAM: 128GB LPDDR5x Unified System Memory
Storage: 4TB Gen5 SSD
Power: 240W Power Adapter Included
Operating-System: NVIDIA DGX™ OS
Wireless: Wireless + Bluetooth Included (QSFP112 Ethernet DAC provided)
Warranty & Support
3-Year Hardware Warranty: Covers all parts, labour, and return shipping.
Lifetime Technical Support: Speak directly with real Aftershock technicians — no queues or scripts.
This warranty is included with every desktop PC, ensuring peace of mind from day one.















