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QNAP

QNAP AI (QAI) QAI-h1290FX-7302P-128G

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QAI-h1290FX is a desktop-class edge compute server and Storage convergence that combines a high-performance computing architecture with ultra-fast Storage. It supports configurable NVIDIA® RTX™ PRO Blackwell GPUs, making it ideal for local AI, LLM inference, private RAG search, virtualization, and other demanding compute workloads.

Powered by QuTS hero with the ZFS file system, the platform delivers enterprise-grade data integrity and consistent performance. Whether it concerns AI deployment, research and development, high-performance computing, or enterprise virtualization environments, the QAI-h1290FX enables flexible configuration and rapid deployment, so that critical workloads run safely and efficiently at the edge.

 

  • GPU-ready architecture with RTX PRO Blackwell support

Built with a GPU-ready design, NVIDIA® RTX™ PRO Blackwell GPUs, including options such as the RTX PRO 6000 Blackwell Max-Q Workstation, to meet the demands of AI workloads, image generation, inference and GPU-accelerated computing.

  • High-speed all-flash NVMe Storage architecture

Equipped with 12 U.2 NVMe SSD bays and support for SATA SSD, enabling flexible Storage configurations that are optimized for performance, capacity, or cost. Ideal for AI workloads, Virtualization and real-time data processing.

  • On-premise LLM & RAG search function

Allows local deployment of private LLMs and RAG-based search function possible, for secure semantic document retrieval without sending sensitive data to the cloud.

  • ZFS-based QuTS hero OS

Powered by QuTS hero with ZFS, with inline compression, self-healing, snapshots and SnapSync for enterprise-grade data integrity.

  • GPU acceleration & AI App Templates

Take advantage of GPU acceleration via Container station. One ​​click Ollama, AnythingLLM, Implement Stable Diffusion, etc. Simplifies the rollout of AI applications.

  • 25GbE connectivity & expandable
  • Built-in dual 25GbE and 2.5GbE ports, and upgradeable to 100GbE. Scale up with QNAP JBODs to meet growing AI data storage needs.

Specifications
Resumed specifications