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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
👉 Register now

‍

Learn More

News & Resources

Graid Technology at DTF Taipei
Events
September 4, 2026

Join Graid Technology at DTF Taipei

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 at Supermicro Innovate! EMEA
Events
August 31, 2026

Graid Technology Heads to Supermicro Innovate! EMEA in Split, Croatia

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!
Why AI Inference Needs GPU-Driven Storage | Graid Technology
Blog
August 31, 2026

5 Fast Facts: Why AI Infrastructure Needs GPU-Driven Storage

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.
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