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XINNOR REPORT illustration related to A Comparative Analysis: SupremeRAID NVMe & NVMe-oF RAID vs Xinnor xiRAID Software RAID
Whitepaper
October 30, 2023

A Comparative Analysis: SupremeRAID™ NVMe® & NVMe-oF™ RAID vs Xinnor xiRAID Software RAID

Looking for a robust RAID solution? SupremeRAID™ clearly outshines Xinnor xiRAID, providing unmatched CPU efficiency for your app workloads. Explore the full comparison report and make an informed choice for your NVMe storage solutions.

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Modern datacenter infrastructure must support data-hungry applications and feed data to these applications at ever-increasing speeds. NVM Express® (NVMe®) SSDs, which use the PCI Express® (PCIe®) physical interface, have become the frontrunner for raw storage device performance, both in terms of IO’s per second (IOPS) and throughput, typically measured in Megabytes or Gigabytes per second (GB/s).

GPUs are known for providing excellent acceleration to video graphics and related activities, in part, because these activities require many repetitive mathematical calculations to be performed and these GPUs are designed specifically to accomplish this purpose. RAID processing also involves extensive and repetitive mathematical calculations, especially for RAID5 and RAID6, so GPU acceleration is a natural fit.

This report examines the advantages of GPU RAID and provides an analysis of test results from two competing NVMe RAID solutions.

View or download the report (PDF, 687 KB)

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News & Resources

Graid Technology will showcase SupremeRAID™ AE and Supreme JBOF at Cypher 2026 in Bengaluru, October 7–9. Explore GPU-accelerated NVMe storage and protected KV cache offloading for AI workloads from server to edge.
"You've got a four-lane highway, and to get to your storage, you have to go down to a one-lane bridge." Garrett McKibben joins Solidigm on TechArena's Data Insights podcast to unpack why KV cache overflow is choking AI inference.
Graid Technology CEO Leander Yu and VP of Product Development Alven Yen explain how moving RAID processing onto the GPU breaks the bottleneck traditional controllers cannot solve, delivering 36 million GPU-initiated IOPS for AI infrastructure.