Graid joins AI Powered Data Centre Conference in Mumbai
Events
July 10, 2026

Join US at AI Powered Data Centre Conference

We are excited to announce that Graid Technology will be participating in the AI Powered Data Centre Conference 2026 as a Silver Partner.

As AI continues to reshape data centre infrastructure, storage performance is becoming a critical factor in supporting GPU-dense workloads, AI training, inference, and high-performance computing. At Graid Technology, we are committed to helping enterprises build faster, more efficient, and more scalable AI-ready infrastructure with our GPU-accelerated NVMe RAID solutions.

Join us in Mumbai to explore how our solutions help reduce storage bottlenecks, improve data protection, and unlock higher performance for next-generation AI data centers.

📍 AI Powered Data Centre Conference 2026
📅 22 July 2026
🏨 Courtyard by Marriott, Mumbai International Airport
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Register now

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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, [...]