{"id":46429,"date":"2026-08-07T15:00:00","date_gmt":"2026-08-07T15:00:00","guid":{"rendered":"http:\/\/www.prnasia.com\/story\/archive\/5021700_CN21700_0"},"modified":"2026-08-07T15:00:00","modified_gmt":"2026-08-07T15:00:00","slug":"fms-2026-longsys-chief-scientist-jian-chen-highlights-the-storage-foundry-model-for-edge-ai","status":"publish","type":"post","link":"https:\/\/transmediavictoria.net.au\/?p=46429","title":{"rendered":"FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI"},"content":{"rendered":"<p><span class=\"legendSpanClass\">SAN JOSE, Calif.<\/span>, <span class=\"legendSpanClass\">Aug. 7, 2026<\/span> \/PRNewswire\/ &#8212; At FMS 2026 on August 5,&nbsp;Longsys (301308.SZ) Chief Scientist Dr. Jian Chen delivered a keynote speech titled <b>&#8220;Intelligence at the Edge: Powered by the Storage Foundry Model,&#8221;<\/b> addressing the new storage demands created as AI shifts from the cloud to the edge.<\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder9327\" readability=\"7\">\n<p><a href=\"https:\/\/mmx.prnasia.com\/media\/MS1965936\/20260807053147EDT_image_1.jpg?id=OA2834887&amp;p=medium600\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/mmx.prnasia.com\/media\/MS1965936\/20260807053147EDT_image_1.jpg?id=OA2834887&amp;p=medium600\" title=\"Intelligence at the Edge: Powered by the Storage Foundry Model\" alt=\"Intelligence at the Edge: Powered by the Storage Foundry Model\"><\/a><br \/><span>Intelligence at the Edge: Powered by the Storage Foundry Model<\/span><\/p>\n<\/p><\/div>\n<p>During the keynote, Dr. Chen introduced Longsys&#8217; <b>Storage Foundry Model<\/b> and presented three edge AI storage innovations \u2014 <b>HLCache\u2122, iSA\u2122 + AISSD\u2122, and AIDIMM\u2122<\/b> \u2014 designed to address key industry challenges including high DRAM costs, limited memory capacity, and bandwidth constraints, creating a new pathway for edge AI storage innovation.<\/p>\n<p><b>Engineering Culture: The Foundation of Storage Innovation<\/b><\/p>\n<p>Dr. Chen traced&nbsp;Longsys&#8217; growth since its founding in 1999, including the launch of FORESEE, the acquisition of Lexar, expanded packaging and manufacturing through Longforce (Suzhou) Technology, and the integration of Brazil-based Zilia. Longsys now operates a global manufacturing network supporting worldwide delivery.<\/p>\n<p>Rather than focusing solely on standardized products like traditional storage providers,&nbsp;Longsys applies full-stack engineering across eight areas \u2014 chip design, firmware development, material engineering, host software and OS-level adaptation, hardware design, packaging, automated testing, and mass production \u2014 enabling cross-domain hardware-software co-optimization and customized development. Together, these integrated capabilities across the storage value chain form the basis of the Storage Foundry Model.<\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder5811\" readability=\"7\">\n<p><a href=\"https:\/\/mmx.prnasia.com\/media\/MS1965937\/20260807053147EDT_image_2.jpg?id=OA2834888&amp;p=medium600\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/mmx.prnasia.com\/media\/MS1965937\/20260807053147EDT_image_2.jpg?id=OA2834888&amp;p=medium600\" title=\"Longsys Storage Foundry Model\" alt=\"Longsys Storage Foundry Model\"><\/a><br \/><span>Longsys Storage Foundry Model<\/span><\/p>\n<\/p><\/div>\n<p><b>Redefining Storage Collaboration for the Edge AI Era<\/b><\/p>\n<p>Dr. Chen highlighted that while NAND Flash and DRAM have achieved significant cost reductions over decades, the rise of edge AI has introduced a new level of complexity. He described the fragmented edge AI landscape as a <b>&#8220;thousand-handed challenge,&#8221;<\/b> where diverse architectures, AI models, device forms, and applications require coordinated solutions rather than standardized approaches.<\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder1131\" readability=\"7\">\n<p><a href=\"https:\/\/mmx.prnasia.com\/media\/MS1965935\/20260807053147EDT_image_3.jpg?id=OA2834886&amp;p=medium600\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/mmx.prnasia.com\/media\/MS1965935\/20260807053147EDT_image_3.jpg?id=OA2834886&amp;p=medium600\" title=\"Thousand-handed challenge\" alt=\"Thousand-handed challenge\"><\/a><br \/><span>Thousand-handed challenge<\/span><\/p>\n<\/p><\/div>\n<p>From AI PCs and mobile devices to industrial systems and robotics, different scenarios require tailored trade-offs among performance, power efficiency, form factor, and security. The Storage Foundry Model goes beyond conventional storage offerings by enabling solutions tailored to customers&#8217; CPUs,&nbsp;SoCs, AI models, and system architectures \u2014 integrating hardware, firmware, and system-level optimization to accelerate development cycles and lower barriers to edge AI deployment.<\/p>\n<p><b>Three&nbsp;Longsys Innovations Powering Edge AI<\/b><\/p>\n<p><b>HLCache\u2122 UFS<\/b> leverages Longsys&#8217; self-developed High-Level Cache technology to intelligently manage hot and cold data between UFS and DRAM, reducing memory pressure and improving multitasking performance on mobile AI devices.<\/p>\n<p><b>iSA\u2122 + AISSD\u2122<\/b> enables efficient local AI inference for AI PCs and AI agent hosts by offloading MoE parameters and KV cache to dedicated SSD resources, reducing DRAM usage while supporting large-scale AI models.<\/p>\n<p><b>AIDIMM\u2122<\/b> addresses memory bandwidth challenges in AI BOX and edge AI systems with a plug-in high-bandwidth memory architecture, featuring a native 256-bit interface and up to <b>307.2GB\/s bandwidth<\/b>. Its flexible design simplifies system upgrades and reduces hardware redesign efforts.<\/p>\n<div class=\"PRN_ImbeddedAssetReference\" id=\"DivAssetPlaceHolder9962\">\n<p><a href=\"https:\/\/mmx.prnasia.com\/media\/MS1965934\/20260807053147EDT_image_4.jpg?id=OA2834885&amp;p=medium600\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/mmx.prnasia.com\/media\/MS1965934\/20260807053147EDT_image_4.jpg?id=OA2834885&amp;p=medium600\" title=\"AIDIMM\" alt=\"AIDIMM\"><\/a><br \/><span>AIDIMM<\/span><\/p>\n<\/p><\/div>\n<p><b>&#8220;Collabovate&#8221;: Building the Future of Edge AI Together<\/b><\/p>\n<p>Dr. Chen highlighted that as edge AI evolves from early adoption to large-scale deployment, diverse requirements across devices, architectures, and workloads cannot be addressed by a single product or technology.<\/p>\n<p>To address this fragmented market, Dr. Chen introduced <b>&#8220;Collabovate&#8221; \u2014 combining Collaboration and Innovation \u2014<\/b> as a new ecosystem collaboration approach. Through the Storage Foundry Model, Longsys is bringing together partners across chips, devices, and AI ecosystems to leverage complementary capabilities and accelerate customized edge AI solutions.<\/p>\n<p>By opening its <b>full-stack technology capabilities<\/b>, Longsys aims to build a more collaborative storage ecosystem, enabling deeper industry collaboration and unlocking new possibilities for intelligent computing.<\/p>\n<p><b>About&nbsp;Longsys<\/b><\/p>\n<p class=\"prntal\">Founded in 1999, Longsys (301308.SZ) is a globally leading branded semiconductor memory enterprise, integrating R&amp;D, design, packaging and testing, manufacturing, and sales services. For more information please visit&nbsp;<a href=\"https:\/\/www.longsys.com\/\" target=\"_blank\" rel=\"nofollow\">https:\/\/www.longsys.com\/<\/a>, and follow Longsys on&nbsp;<a href=\"https:\/\/www.linkedin.com\/company\/longsys\/?viewAsMember=true\" target=\"_blank\" rel=\"nofollow\">LinkedIn<\/a> and&nbsp;<a href=\"https:\/\/www.facebook.com\/longsys\" target=\"_blank\" rel=\"nofollow\">Facebook<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SAN JOSE, Calif., Aug. 7, 2026 \/PRNewswire\/ &#8212; At FMS 2026 on August 5,&nbsp;Longsys (301308.SZ) Chief Scientist Dr. Jian Chen delivered a keynote speech titled &#8220;Intelligence at the Edge: Powered by the Storage Foundry Model,&#8221; addressing the new storage demands created as AI shifts from the cloud to the edge. Intelligence at the Edge: Powered [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":46430,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-46429","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI - My Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/transmediavictoria.net.au\/?p=46429\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"FMS 2026 | Longsys Chief Scientist Jian Chen Highlights the Storage Foundry Model for Edge AI - My Blog\" \/>\n<meta property=\"og:description\" content=\"SAN JOSE, Calif., Aug. 7, 2026 \/PRNewswire\/ &#8212; At FMS 2026 on August 5,&nbsp;Longsys (301308.SZ) Chief Scientist Dr. Jian Chen delivered a keynote speech titled &#8220;Intelligence at the Edge: Powered by the Storage Foundry Model,&#8221; addressing the new storage demands created as AI shifts from the cloud to the edge. 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