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HP ZGX Nano G1n AI Station Mini PC with NVIDIA Grace Blackwell Superchip and 128GB Memory

HP ZGX Nano G1n AI Station Mini PC with NVIDIA Grace Blackwell Superchip and 128GB Memory

Regular price $5,404.99 USD
Sale price $5,404.99 USD Regular price
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HP ZGX G1n Workstation - ARM Cortex X925 - 128 GB - 2 TB SSD - Mini PC - Black - TAA Compliant

The HP ZGX Nano G1n AI Station is a compact yet powerful desktop designed for advanced AI development and edge computing. Powered by the NVIDIA GB10 Grace Blackwell Superchip, it delivers up to 1,000 TOPS of FP4 AI performance, enabling users to prototype, fine-tune, and run inference models with up to 200 billion parameters directly on their desk. Its integrated NVIDIA DGX OS and AI software stack provide a familiar and optimized environment for modern AI workflows, streamlining development from idea to deployment. The system's 128 GB of coherent unified memory allows for managing multiple complex programs simultaneously without sacrificing speed or performance, making it an ideal solution for demanding AI applications and data-intensive tasks.

Features:

  • 128 GB memory enables multitasking and handling of multiple programs simultaneously without performance loss
  • Runs complex database and AI workloads efficiently, ensuring consistent speed and responsiveness
  • Spacious 2 TB SSD provides ample storage for large datasets, models, and digital content with faster data transfer rates
  • Includes a 240 W power supply for reliable energy delivery and long-term system stability
  • Powered by NVIDIA DGX OS, offering an intuitive interface optimized for AI development and productivity
  • Utilizes LPDDR5X memory technology for faster data transfer and enhanced overall system performance
  • Mini PC form factor with a user-friendly design facilitates easy setup and operation in various environments
  • 10 Gigabit Ethernet connectivity ensures ultra-fast network performance for data-heavy applications
  • Deca-core (10 Core) ARM Cortex X925 processor handles data efficiently, improving transfer speeds and system responsiveness

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