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Graid Technology Inc. logo in front of a shiny blue decorative background.
Podcast
October 15, 2022

The French Storage Podcast: Interview with Leander Yu, Founder & CEO of Graid Technology

Graid Technology joined the 46th edition of The IT Press Tour in California this week and it was the perfect opportunity to record a new podcast episode with Leander Yu, CEO and founder of the company. The company designs, develops and builds a GPU-based RAID PCIe card to protect NVMe SSDs. We spoke about the roots of the project, its financial profile, the product, how does it work, the use cases ad workloads support, the got-to-market, the pricing and a bit of future directions as well. Enjoy the listening. Thank you Leander.

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About  Graid Technology

Chosen by CRN as one of the Ten Hottest Data Storage Startups of 2021 and a 2022 Emerging Vendor in the Storage & Disaster Recovery category,  Graid Technology Inc. has developed the world's first NVMe and NVMeoF RAID card to unlock the full potential of enterprise SSD performance. We're headquartered in Silicon Valley, with an R&D center in Taiwan, and are led by a dedicated team of experts with decades of experience in the SDS, ASIC and storage industries.  Graid Technology Inc. is redefining performance standards for enterprise data protection: a single SupremeRAID™ card delivers 19 million IOPS and 110GB/s of throughput. For more information on  Graid Technology Inc., connect with us on Twitter or LinkedIn.

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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.