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2026 Interop Tokyo 1 illustration related to Join Us at Interop Japan 2026
Events
May 26, 2026

Join Us at Interop Japan 2026

As AI models continue to scale, GPU memory and storage performance are becoming critical challenges in modern inference infrastructure.

KV cache offload to NVMe is no longer optional for many production AI environments — but without the right storage architecture, it can introduce additional latency, bottlenecks, and performance instability.

That’s where SupremeRAID™ AE and SupremeRAID™ HE come in.

SupremeRAID™ AE is designed for AI and GPU servers, enabling high-performance KV cache offload to local NVMe with near-native NVMe performance and enterprise-grade data protection.

SupremeRAID™ HE extends this performance to AI data centers and HPC clusters, delivering high-availability RAID for shared NVMe storage environments while supporting scalable, resilient infrastructure for large-scale AI workloads.

Together, SupremeRAID™ AE and HE help AI infrastructure overcome storage bottlenecks — from single GPU servers to rack-scale AI deployments.

At Interop Japan(株)ナノオプト・メディア 2026, we’re excited to showcase how Graid Technology enables high-performance, highly reliable AI storage for the next generation of inference infrastructure. See you in Tokyo! 🇯🇵🚀

📍 Booth 5U12-5 | June 10-12 | MAKUHARI MESSE, Tokyo

Learn More

News & Resources

Join Graid Technology at Dell Technologies Forum Taipei 2026 and discover how SupremeRAID™ AE transforms local NVMe storage into a high-performance, scalable, and protected extended KV cache—reducing redundant computation and accelerating time to first token (TTFT).
Graid Technology is joining Supermicro's Innovate! EMEA as a Gold Sponsor, taking place September 14-15, 2026, at the Le Méridien Lav Hotel in Split, Croatia. Come find us at Booth G1 to talk data protection, GPU Accelerated Storage, and what's next for Graid Technology!
TechArena sat down with Graid Technology's Randy Kreiser to unpack why memory, not FLOPS, now gates inference economics, and how GPU-driven storage keeps pace with agentic AI's KV cache demands. Read the interview here.