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Video

May 22, 2023

Watch Now: SupremeRAID™ Featured on SMC Journal with Scott Moore, YouTube

Watch our latest YouTube to learn why software RAID isn't fast enough for the latest NVMe storage advancements, and how SupremeRAID™ removes the traditional RAID bottleneck to deliver the maximum SSD performance possible.

Check out our own Kelley Osburn featured in the latest YouTube podcast with SMC Journal! We joined Scott Moore to discuss why software RAID isn't fast enough for the latest NVMe storage advancements, but how SupremeRAID™ unique out-of-path technology has reinvented what's possible for NVMe SSDs by delivering the maximum performance possible. Watch now to learn more!

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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.