Kioxia’s AiSAQ allows more scalable RAG AI inference systems by moving database vectors entirely into storage, thus avoiding DRAM growth with increasing database sizes.
In April this year, Kioxia ’s Rory Bolt gave me a briefing on Kioxia ’s AiSAQ, an open-source project intended to promote the expanded use of SSD s in RAG AI solutions. The focus on AI is moving from generating foundational models with massive and expensive training to cost effective and scalable ways to create inference solutions that can solve real world problems.
Kioxia has used AI to improve the output of its NAND fabs since 2017, mostly using machine vision to monitor trends and defect rates. In 2020 Kioxia used AI to generate the world’s first AI-designed Manga, Phaedo, drawing on manga drawings and stories based on Osuma Tezuka’s work.
Artificial Intelligence Aisaq Kioxia Inference RAG DRAM Scalability SSD NAND
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