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AIC White Paper 1 illustration related to White Paper: From JBOF to Unified AI-ready Enterprise Data Platform
Whitepaper

White Paper: From JBOF to Unified AI-ready Enterprise Data Platform

Read the whitepaper

Graid Technology is proud to collaborate with AIC on a newly released whitepaper that explores a next-generation architecture for modern AI and HPC infrastructure.

The solution integrates AIC’s F2026 PCIe Gen5 NVMe JBOF, NVIDIA BlueField-3 DPUs, and Graid SupremeRAID™ HE to create a unified, scalable AI-ready enterprise data platform designed to eliminate storage bottlenecks in high-performance environments.

By offloading storage networking to DPUs and RAID processing to GPU acceleration, the architecture enables organizations to achieve near bare-metal NVMe performance while maintaining enterprise-grade RAID protection. The platform delivers up to 8.8 million IOPS and 85 GB/s throughput in a compact 2U design, while sustaining full RAID 5/6 resilience.

With its zero-CPU storage architecture, this solution preserves host CPU resources for AI workloads while ensuring high availability through redundant controllers, NVMe-oF multipathing, and automated failover mechanisms.

Together with AIC, this collaboration demonstrates how GPU-accelerated RAID combined with DPU-driven storage networking can transform storage into a high-performance foundation for modern AI, HPC, and data-intensive workloads.


see the white paper on AIC’s website

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.