Expandable Infrastructure for AI Workloads
Taipei City, Taiwan – April 29th, 2026 – QSAN Technology Inc., a leading provider of innovative data management solutions, today announced the launch of the XE5 NVMe JBOF, a high-performance expansion platform designed to enhance NVMe-based storage architectures for AI and hybrid workloads.
Breaking the Limits of Traditional Storage Expansion
As AI adoption and data growth accelerate, enterprises face increasing pressure on storage performance and scalability. Traditional expansion models introduce bottlenecks that limit the full potential of NVMe and modern compute environments.
Looking ahead, infrastructure must evolve toward disaggregated, high-speed architectures, where storage performance can scale independently to support real-time processing, AI pipelines, and large-scale data operations.
Turning NVMe into a Scalable Performance Engine for AI
The XE5 NVMe JBOF serves as a dedicated performance expansion layer, enabling seamless integration with QSAN storage platforms and server-direct storage expansion.
Deployed alongside QSAN systems and servers, XE5 extends NVMe capacity and throughput end-to-end to support AI model training, analytics workloads, and data-intensive applications—with NVIDIA GPUDirect Storage and without impacting existing architecture.
This approach enables organizations to build a flexible, scalable infrastructure that aligns storage performance with evolving compute demands, forming a solid foundation for next-generation AI deployments.


