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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

Join Graid Technology at Dell Technologies Forum Taipei 2026 and discover how SupremeRAID™ AE transforms local NVMe storage into a high-performance, scalable, and protected extended KV cache—reducing redundant computation and accelerating time to first token (TTFT).
Graid Technology is joining Supermicro's Innovate! EMEA as a Gold Sponsor, taking place September 14-15, 2026, at the Le Méridien Lav Hotel in Split, Croatia. Come find us at Booth G1 to talk data protection, GPU Accelerated Storage, and what's next for Graid Technology!
TechArena sat down with Graid Technology's Randy Kreiser to unpack why memory, not FLOPS, now gates inference economics, and how GPU-driven storage keeps pace with agentic AI's KV cache demands. Read the interview here.