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March 20, 2025

Graid Technology Wins the 2025 Nimbus Innovation Award for Best Storage Software Innovation: SupremeRAID™ AE

We’re thrilled to announce that Graid Technology has won the NIMBUS ALLIANCE Innovation Award for Best Storage Software Innovation at CloudFest for SupremeRAID™ AE!

This award recognizes our commitment to advancing AI-driven storage performance. SupremeRAID™ AE is designed to eliminate GPU bottlenecks caused by drive failures, ensuring uninterrupted AI workloads. With GPUDirect Storage support and an Intelligent Data Offload Engine, it delivers over 95% of raw NVMe performance while providing resilient RAID protection for critical datasets. By optimizing data throughput and reducing latency, SupremeRAID™ AE accelerates AI model training, inference, and streamlined data workflows for enterprises at the forefront of AI innovation.


A huge thank you to the Nimbus Awards and everyone who made this possible!
Learn more: https://zurl.co/6xSI9

Click here to learn more about SupremeRAID™ AE (AI Edition).

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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, [...]