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Events

September 30, 2026

Meet Graid Technology at Cypher 2026

Graid Technology is heading to Cypher 2026 to showcase how SupremeRAID™ AE and Supreme JBOF support AI workloads, from GPU servers to compact edge systems.

AI applications need fast access to growing volumes of data. SupremeRAID™ AE uses the GPU already in a system to deliver high-performance NVMe storage with data protection. Its software-based approach removes the need for a dedicated RAID card, making it a fit for AI inference, training, and other data-intensive GPU workloads.

For NVIDIA GB10-class systems, Supreme JBOF provides protected external storage for KV cache offloading. Using a 100GbE connection and NVMe-oF over RDMA, the solution extends storage beyond the compact AI system while supporting fast access to cached data.

Visit Graid Technology at Cypher to discuss how these solutions can help you build an AI storage architecture for your workload, whether you are working with a GPU server or deploying AI at the edge.

See you at Cypher 2026 in Bengaluru, October 7–9.

‍
-- Cypher 2026--

📍 KTPO Whitefield, Bengaluru

📍 October 7–9, 2026

📍 Booth 34

Secure your spot

Learn More

News & Resources

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.

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.

Rethinking RAID for AI: GPU-Powered Storage | Graid Technology

Video

September 9, 2026

Rethinking RAID for AI: Inside Graid Technology's GPU-Powered Storage

Graid Technology CEO Leander Yu and VP of Product Development Alven Yen explain how moving RAID processing onto the GPU breaks the bottleneck traditional controllers cannot solve, delivering 36 million GPU-initiated IOPS for AI infrastructure.

View all

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.