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Product Brief
October 31, 2025

Download SupremeRAID™ Product Brochures

Find The Right Product For Your Needs

Graid Technology offers a comprehensive portfolio of GPU-accelerated RAID solutions designed for every performance tier and every level of data integrity; from the most demanding AI and HPC workloads to enterprise systems and desktop power users.  SupremeRAID™ removes traditional RAID bottlenecks and empowers users to unlock the performance of their NVMe storage.  Discover which SupremeRAID(TM) product is right for your workload:

↘️ Get the SupremeRAID™ AE (AI Edition) Product Brochure

↘️ Get the SupremeRAID™ HE (HPC Edition) Product Brochure

↘️ Get the SupremeRAID™ Ultra (Formerly SR-1010) Product Brochure

↘️ Get the SupremeRAID™ Pro (Formerly SR-1000) Product Brochure

↘️ Get the SupremeRAID™ Core (Formerly SR-1001) Product Brochure

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News & Resources

Join Graid Technology at the 2026 Dell Technologies Forum Shanghai on August 21! Discover how Dell × SupremeRAID™ solutions power AI from cloud to edge—from private AI and HPC clusters to edge AI and KV Cache offloading—with 2–10× higher storage performance, up to 80 GB/s per node, and up to 24× faster TTFT.
Don't miss our joint speaker session with Supermicro, where we'll walk through scaling approaches across every tier, from single-server to rack-scale to monolithic deployments, and show how dense NVMe GPU platforms paired with SupremeRAID™ turn SSDs into a high-performance, protected KV cache tier. If storage is becoming your AI infrastructure bottleneck, this is the session to catch. See you at FMS 2026!
Graid Technology has achieved an industry-first benchmark: 100 million IOPS on a protected RAID 5 volume for GPU-initiated I/O, built from 32 KIOXIA XD8 NVMe SSDs. The result shows that resilient NVMe storage can now operate at the scale that current and future AI deployments require, which is especially significant for environments that require both extreme performance and enterprise-class data protection. In benchmark testing with a WholeGraph training workload, [...]