QNAP Edge AI Storage Server
An all-in-one Edge AI computing platform integrates storage, virtualization, and computing power to help enterprises efficiently, securely, and cost-effectively deploy on-premises AI applications — accelerating smart transformation across industries.
Challenges enterprises face in the AI era
As GenAI, LLM, and edge computing demands surge, traditional IT infrastructures are hitting several bottlenecks:
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High cloud security risks
Over 90% of enterprises cite data security as a top concern when deploying AI. Cloud-based deployments expose data to potential leaks and compliance risks.
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Soaring deployment costs
Stacked licensing fees for cloud models, token usage, GPU access, storage, and virtualization platforms significantly drive up the total cost of ownership (TCO).
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Fragmented infrastructure
Disconnected compute and storage systems lead to time-consuming integration and complex maintenance.
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Unstable performance
Shared infrastructure causes AI models and virtualization applications to compete for system resources, resulting in latency and unpredictable performance.
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Exploding data volumes
AI and data-intensive applications generate massive data, straining traditional storage scalability and data management capabilities.
Why choose the QNAP Edge AI storage server?
QNAP Edge AI storage server delivers a unified edge computing platform that integrates data storage, virtualization, GPU and I/O acceleration, and CPU resource management. It enables enterprises to efficiently deploy AI applications and edge devices on premises. Businesses can install QNAP’s hypervisor app Virtualization Station or container management platform Container Station on the QAI to flexibly build on- premises AI inference servers and edge storage servers tailored to specific use cases, that delivers high performance and low latency.
Technical advantages over traditional architecture
QNAP Edge AI storage server offers flexible system resource allocation, advanced hardware acceleration, and enterprise-grade data protection — making it an ideal platform for edge computing.
Unleash VM performance with precise resource allocation
Seamlessly run on-prem LLMs on QNAP QAI
Integrates virtualization, large language model (LLM), and intuitive UI on one device:
Transform your QAI into a VM backup server
A single QNAP QAI can serve both as a virtualization host and a central backup server.
Versatile applications for diverse business needs
Recommended model
Purpose-built for edge AI deployment, the QNAP AI Series NAS, paired with an NVIDIA RTX 6000 or RTX 4000 Ada Generation graphics card, delivers exceptional performance for AI inference, high-resolution media processing, and virtualization.
Need assistance?
QNAP experts are ready to help you design the ideal Edge AI storage server for your business.