{"id":15026,"date":"2025-10-06T15:26:26","date_gmt":"2025-10-06T15:26:26","guid":{"rendered":"https:\/\/www.abrahamsconsulting.com\/blog\/?p=15026"},"modified":"2025-10-06T15:26:26","modified_gmt":"2025-10-06T15:26:26","slug":"introducing-kioxia-aisaq-technology-for-ai","status":"publish","type":"post","link":"https:\/\/www.abrahamsconsulting.com\/blog\/introducing-kioxia-aisaq-technology-for-ai\/","title":{"rendered":"Introducing KIOXIA AiSAQ Technology for AI"},"content":{"rendered":"<p>Managing vector databases for AI and Retrieval Augmented Generation (RAG) workloads often requires prohibitively large DRAM footprints, making scalability a major challenge. This solution brief introduces KIOXIA AiSAQ\u2122 technology, which moves vector indexes from DRAM to SSDs for an architecture that is both cost-effective and scalable. Download the solution brief for insights into overcoming DRAM limitations, and then contact Abrahams Consulting LLC to explore how this technology can work for your business.<\/p>\n<p><a href=\"https:\/\/stuf.in\/bh85xn\" target=\"_blank\">View: Introducing KIOXIA AiSAQ Technology for AI<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scaling vector databases without ballooning DRAM costs is now possible. \ud83d\ude32 Download the solution brief, &#8220;Introducing KIOXIA AiSAQ Technology for AI,&#8221; to see how AiSAQ\u2122 technology delivers scalable performance for RAG and AI workloads. <\/p>\n<p>@KIOXIA America, Inc.<\/p>\n","protected":false},"author":2,"featured_media":15025,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1136],"tags":[],"class_list":["post-15026","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - 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