Specifications
CPU
AMD EPYC 7302P, 16-core / 32-thread, up to 3.3 GHz
System Memory
128 GB DDR4 ECC RDIMM (8 slots, expandable to 1 TB)
Drive Bays
12x 2.5" U.2 NVMe / SATA all-flash bays
GPU Support
Optional NVIDIA RTX PRO 6000 Blackwell Max-Q GPU
PCIe Expansion
4 slots — 2x Gen4 x16, 1x Gen4 x8, 1x Gen4 x16
Networking
2x 25 GbE + 2x 2.5 GbE; upgradable to 100 GbE
Flash Memory
8 GB dual-boot OS protection
USB
3x USB 3.2 Gen 1
Form Factor
Tower — 150 x 368 x 362 mm, 10.4 kg net
Operating Temperature
0 C to 40 C
AI Software
QAI-exclusive AI app templates (private chatbot, RAG search, LLM, AnythingLLM/OpenWebUI)
Scalability
Expand capacity with QNAP JBOD enclosures
Management
LCD display and buttons; out-of-band remote management
Awards
CES 2026 TechRadar Pro Picks winner; 2026 MSP Today Product of the Year
SKU / Model
AI-h1290FX-7302P-128G
Overview
The QNAP QAI-h1290FX is an edge AI storage server purpose-built for private large-language-model, retrieval-augmented-generation (RAG) and virtualization workloads. It pairs an AMD EPYC 7302P 16-core processor and 128 GB of DDR4 ECC memory with twelve U.2 NVMe/SATA all-flash bays, and accepts an optional NVIDIA RTX PRO 6000 Blackwell Max-Q GPU for on-device inference.
Dual 25 GbE plus dual 2.5 GbE networking (upgradable to 100 GbE) keeps GPU-accelerated nodes fed, while QNAP's QAI-exclusive app templates let teams stand up private chatbots and RAG search over internal documents without cloud dependency. The platform scales with QNAP JBOD enclosures to meet growing AI data-storage demand.
Key Benefits
All-flash U.2 NVMe capacity supplies the storage bandwidth that GPU inference and AI data pipelines demand. Optional RTX PRO 6000 Blackwell acceleration turns the NAS into an inference host. QAI app templates shorten time-to-deployment for private chatbots and RAG search, and 25/100 GbE networking integrates with existing AI or virtualization clusters.
Applications
On-premises private LLM inference, RAG and vector search over internal documents, AI development and data-science storage, virtualization and VDI, high-resolution media processing, and edge AI deployments in regulated or air-gapped environments.
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