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September 17, 2025

Join us at Big Data & AI World Asia 2025 at Singapore

🚀 Graid Technology at Big Data & AI World Asia 2025
We’re teaming up with Infinitix to showcase a new standard in AI storage — SupremeStore by Graid, powering the AI-Stack by Infinitix, delivering next-gen solutions for enterprise AI.

*AI-Stack— an integrated MLOps and GPU resource management platform designed to eliminate inefficiencies in enterprise AI workflows.

Performance First
SupremeStore, a single dual-controller HA device with SupremeRAID™ HE + BeeGFS over InfiniBand, delivers up to 80GB/s throughput, linear scalability, and high availability.

Capacity Optimized
Paired with NVIDIA BlueField-3 JBOF via NVMe-oF, the solution maximizes capacity and reduces, while meeting the most demanding AI storage needs.

Big Data & AI World Asia 2025
📅 October 8–9
📍 Sands Expo & Convention Centre, Singapore
👉 Booth V20

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News & Resources

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.
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 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, [...]