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News/PR
June 30, 2026
Graid Technology Recognized at the 2026 Taiwan AI Awards
Graid Technology is proud to announce that it has been recognized in the 2026 Taiwan AI Awards, standing out among 137 outstanding companies.
This recognition highlights Graid Technology’s commitment to advancing AI infrastructure through GPU-powered storage acceleration and high-performance data protection solutions.
As AI infrastructure continues to evolve, the memory hierarchy is being redefined. When HBM is not enough, AI systems turn to DRAM; when DRAM is not enough, SSD becomes the next layer of scale. In this new AI computing architecture, storage is no longer a passive backend resource. It is becoming a critical performance layer that determines how AI systems scale, accelerate, and operate efficiently.
Graid Technology is proud to extend GPU-powered storage acceleration technology into the AI era, helping organizations unlock higher performance, stronger data protection, and greater infrastructure scalability for modern AI workloads.
This achievement would not have been possible without the dedication of our team and the continued trust and support of our customers and partners. Graid Technology looks forward to continuing to push the boundaries of AI storage and helping shape the future of AI infrastructure.
News & Resources
September 14, 2026
Breaking the KV Cache Inference Wall — Solidigm Data Insights Podcast, Featuring Graid Technology
"You've got a four-lane highway, and to get to your storage, you have to go down to a one-lane bridge." Garrett McKibben joins Solidigm on TechArena's Data Insights podcast to unpack why KV cache overflow is choking AI inference.
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Graid Technology CEO Leander Yu and VP of Product Development Alven Yen explain how moving RAID processing onto the GPU breaks the bottleneck traditional controllers cannot solve, delivering 36 million GPU-initiated IOPS for AI infrastructure.
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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).