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Graid Technology Inc. logo in front of a shiny blue decorative background.
Whitepaper
March 6, 2024

SupremeRAID™ BeeGFS™ Performance with GIGABYTE Servers

This white paper explores how SupremeRAID™ with GIGABYTE S183-SH0 creates an extremely dense and efficient parallel filesystem solution and enhances the performance of BeeGFS—making it ideal for High-Performance Computing and Artificial Intelligence applications.

Executive Summary

SupremeRAID™ by Graid Technology uses GPU-based acceleration to deliver extremely high RAID performance. Using SupremeRAID™ avoids the inherent performance limitations in other RAID products, including ASIC-based hardware RAID and CPU-based software RAID.

This paper explores how SupremeRAID™ enhances the performance of BeeGFS, a parallel file system, developed and optimized for high-performance computing (HPC). Performance measurements occurred using StorageBench and IOzone. StorageBench is a BeeGFS benchmark that measures the streaming throughput of the underlying file system and devices independent of the network performance. IOzone tests a wide range of IO operations to simulate real-world workloads and is designed to find performance bottlenecks in the overall system.

Testing occurred using GIGABYTE servers operating as two storage nodes and four client nodes. Findings show exceptional storage and BeeGFS performance, as summarized in the following pages, demonstrating that choosing SupremeRAID™ for data protection is a highly effective way to maximize performance. [...]

Read the full article at Gigabyte.com
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News & Resources

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.
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.
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.