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2026 IT week JP 2 illustration related to Join us at Japan IT Week Spring
Events
April 1, 2026

Join us at Japan IT Week Spring

Japan IT Week 2026 is around the corner 🇯🇵

Join Graid Technology at Tokyo Big Sight and discover how we’re transforming storage into a true performance accelerator for AI infrastructure. From GPU servers to large-scale HPC clusters, our GPU-accelerated NVMe RAID solutions eliminate storage bottlenecks and unlock the full potential of your compute investment. Let’s talk about faster storage for faster AI.  

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------- Japan IT Week  Spring -------  
📍 Tokyo Big Sight, Japan
📅 April 8–10
📌 Booth W20-22

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News & Resources

Graid Technology at Dell Technologies Forum Shanghai 2026
Events
August 14, 2026

Join Graid Technology at DTF Shanghai 2026

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.
FMS Speaker Session 2026
Events
July 30, 2026

FMS 2026 Speaker Session with Supermicro

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 Achieves Industry-First 100 Million IOPS on a Protected RAID 5 Volume for GPU-Initiated I/O
News/PR
July 15, 2026

Graid Technology Achieves Industry-First 100 Million IOPS on a Protected RAID 5 Volume for GPU-Initiated I/O

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, [...]
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