Meet QNAP Edge AI Storage Server QAI-h1290FX

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	Meet QNAP Edge AI Storage Server
	QAI-h1290FX

	Local AI．Real NAS．One Platform
	✓ Supports NVIDIA RTX™ PRO 6000 Blackwell GPU ✓ On-prem LLM & RAG Search ✓ AI Docker Applications & Template ✓ Up to 70B Local LLM Models ✓ Real Data Privacy
	Learn more

When GenAI moves inside the enterprise, 3 challenges quickly emerge:

Data can’t go to the cloud

(Compliance and data sensitivity restrict cloud AI.)

Cloud costs spiral out of control

(API fees, usage-based billing, and model updates)

AI tools are fragmented and hard to manage

(GPUs, containers, datasets, environments, and access controls all live in separate silos)

QNAP QAI-h1290FX is built to remove these barriers!

Built to run local AI faster and easier

① Centralize`d AI Platform: Models and Data, Unified

Run AI models, datasets, and logs on a single all-flash platform, purpose-built for AI workloads and real-time data processing.

➁ Secure by Design: On-Prem LLMs with Private RAG

Enable on-prem AI analysis and inference across your data. No cloud dependency. No external APIs. No data leakage risk.

➂ IT-Friendly “One-Click AI”: Containerized Apps and Curated Templates

Container Station offers prebuilt AI application templates for one-click deployment—continuously maintained by QNAP to minimize setup, complexity, and maintenance.

➃ Workload-Ready GPU Power: Supports NVIDIA RTX™ PRO Blackwell (Up to 96GB)

Assign NVIDIA GPUs from the UI for instant acceleration—no manual setup required.

➄ ZFS Reliability: Enterprise-Grade Data Integrity and Immutability

Built-in data protection and recovery resilience, helping AI systems stay secure, recoverable, and protected against ransomware.

➅ All-Flash + 25GbE: Keep Data Throughput in Sync with Your Models

Eliminate I/O bottlenecks so GPU compute power is fully utilized. The platform also supports 100GbE expansion, scaling smoothly as AI workloads grow.

Now, make local AI truly operational

“Ask-Anything” enterprise assistant

Build an internal Q&A assistant with AnythingLLM and Ollama. Use local RAG to answer employee questions instantly, reducing team workload and response time.

AI Co-Pilot for development teams

Run Qwen, Llama, and other models locally to support documentation, code reviews, and technical translation —fully offline, traceable, and enterprise-ready.

n8n + NAS automation

Use n8n to turn AI into actionable workflows—from email summaries and response suggestions to system monitoring and content detection.

AI Studio for creative teams

Build an on-prem image generation hub with Stable Diffusion and ComfyUI. GPU acceleration plus persistent NAS storage keeps workflows and outputs reusable and reproducible.

AMD EPYC™
7302P,

16-Core/32-Thread,
Up to 3.3 GHz

128 GB RDIMM DDR4 ECC, Up to 1TB (8 x 128 GB)

2 x 2.5GbE +
2 x 25GbE

4 x
PCIe Gen 4
Slots

Why QAI-h1290FX is different

Feature	QNAP QAI-h1290FX	Other NAS (AI NAS)	AI Workstation
Core AI Operating Model	On-prem LLMs with Private RAG	Cloud-dependent AI	Local compute only
AI Compute Power	Supports Enterprise-class NVIDIA RTX PRO 6000 Workstation GPU (96GB VRAM)	No GPU, or iGPU / NPU only	Varies by model, typically a single GPU
AI Deployment	One-click AI templates with seamless GPU enablement	Manual setup with complex configuration	Manual setup with complex configuration
Core NAS Capabilities	Full enterprise NAS with ZFS, snapshots, and backup	Limited or consumer-oriented NAS features	No native NAS management or data protection
Cost & Management Overhead (TCO)	Compute, storage, and management in one system — lowest TCO	Separate investments for AI and storage	High upfront and ongoing operational costs

QNAP’s professional team is always ready to help you build your Edge AI storage and applications.

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