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AI Video Thumbnail 1 illustration related to 10 Ways AI and Machine Learning Benefit from Faster IO with SupremeRAID

Blog

July 6, 2024

10 Ways AI and Machine Learning Benefit from Faster IO with SupremeRAID™

Discover the future of AI and ML with SupremeRAID™! 🚀

GPU-based SupremeRAID™ eliminates RAID bottlenecks, delivering faster I/O, improved read/write performance, and over 50% more usable storage capacity. By offloading RAID functions to the GPU, it frees up CPU power for more applications and tasks. Watch our video "10 Ways AI ML Benefit from Faster IO with SupremeRAID™" to see how our cutting-edge technology is revolutionizing storage performance.

To learn more about SupremeRAID™ for AI and machine learning, visit https://graidtech.com/products/supremeraid-ae

https://www.youtube.com/watch?v=RIj4IDnpaqc

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News & Resources

Blog

October 6, 2026

When Data Cannot Fail, Storage Cannot Compromise

Defense systems at the rugged edge need compact servers that can protect and process mission data in extreme conditions. See how Trenton Systems uses VROC™ by Graid Technology and SupremeRAID™ in its U.S.-built TRS14-18.5 1U server to combine resilient boot storage with GPU-accelerated data protection.

Events

September 30, 2026

Meet Graid Technology at Cypher 2026

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.

Podcast

September 14, 2026

Breaking the KV Cache Inference Wall — Solidigm Data Insights Podcast, Featuring Graid Technology

"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.

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Built for Every Architecture. Ready for What's Next.

From GPU Accelerated Storage by SupremeRAID™ to CPU-native performance from VROC™ by Graid Technology, Graid Technology eliminates bottlenecks across AI inference, HPC, and enterprise workloads. Contact our team to get started.