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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

Visit Graid Technology at SC26 Booth 1326 in Chicago, November 17–19, to see GPU-accelerated I/O for AI inference and CPU-native data protection with VROC™ by Graid Technology. Stop by to enter our raffle for a pair of Meta glasses.
Storage Review built a shared storage host that gives eight NVIDIA DGX Spark systems access to one parity-protected Solidigm QLC pool, with SupremeRAID™ handling RAID 5 on a GPU. Here is what the testing showed and why it matters for AI labs and enterprise desktop AI fleets.
Graid Technology is featured in TechArena’s report The Integrated Machine. Field CTO Randy Kreiser discusses KV cache, inference performance, and why storage has to be designed into the rack from the start.