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Video

March 25, 2022

VIDEO: Linus Tech Tips Features SupremeRAID™ As The Future of GPU-Accelerated RAID

"Probably the most impressive test we've seen…almost perfect scaling, that's freaking incredible!"

Check out what Linus Tech Tips was so excited to say to their 14.2 million viewers on YouTube! "NVMe storage is blisteringly fast but has lacked a high-performing RAID solution for a long time. Today that may be changing with GRAID's new SupremeRAID™ GPU accelerated NVMe RAID solution that promises to deliver over 100GB/s of sequential read performance with next to no CPU usage." Watch the video to learn what they had to say...

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News & Resources

Find us at SC26, Booth 1326 | Graid Technology

Events

October 16, 2026

Meet Graid Technology at SC26: One Portfolio for Any Workload

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.

DGX Spark Shared Storage with SupremeRAID™ | Graid Technology

Article

October 16, 2026

DGX Spark Shared Storage with SupremeRAID™

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.

TechArena Report: AI Inference & Storage | Graid Technology

Blog

October 15, 2026

Graid Technology Featured in TechArena’s AI Infrastructure Report, The Integrated Machine

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.

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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.