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Longsys Showcases End-to-End AI Storage Solutions at FMS 2026

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Longsys Showcases End-to-End AI Storage Solutions at FMS 2026
Business

Business

Longsys Showcases End-to-End AI Storage Solutions at FMS 2026

2026-08-06 08:00 Last Updated At:08:15

Edge AI Storage Fusion is the theme for this year's booth at the Silicon Valley exhibition

SAN JOSE, Calif., Aug. 6, 2026 /PRNewswire/ -- Longsys(301308.SZ) is presenting its "Edge AI Storage Fusion" showcase at the Future of Memory and Storage (FMS) 2026, spanning three core scenarios: AI Agent Hosts (AI BOX), AI PCs, and AI Mobile embedded devices.

AI Agent Hosts: Co-Optimized with AMD

To address memory bottlenecks, KV cache expansion, and latency challenges in local LLM deployment, Longsys has partnered with AMD to integrate AIDIMM™ high-bandwidth memory, the iSA™ (Intelligent Storage Agent), and AISSD™. A live demo, jointly developed with SixUnion, showed a system running 70B-, 80B-, and 122B-parameter models smoothly using just 64GB of AIDIMM™ memory, with significantly lower memory usage and higher inference efficiency. Longsys also unveiled an AMD Ryzen™ AI Halo platform integrated with AISSD™ and iSA™, now AMD AVL-certified and ready for mass deployment.

AIDIMM™ delivers a native 256-bit interface, up to 307.2 GB/s peak bandwidth, and up to 128GB capacity per module, with a plug-and-play design suited for scaled manufacturing. iSA™, Longsys' proprietary scheduling engine, uses MoE offloading, tiered cache management, and predictive prefetching to dynamically balance memory and storage resources in real time.

AI PCs: Next-Generation SSD Innovations

Longsys' 5nm SPU™ (Storage Processing Unit) powers a DRAM-less PCIe Gen5 SSD achieving 14.8 GB/s sequential read and 13 GB/s write speeds — flagship-class performance at ≤6.3W, roughly 10% lower than comparable controllers. Built-in lossless compression (up to 2:1) expands usable capacity without impacting speed. Longsys' PCIe Gen5 mSSD reaches 11 GB/s read, 10 GB/s write, and 2200K/1800K IOPS. With flexible form factors (M.2 2230/2242/2280 and more) and manufacturing capacity exceeding one million units monthly, Longsys supplies various partners including Lenovo and ASUS.

AI Mobile: HLCache™ and AILPBGA™

Longsys' HLCache™ UFS technology intelligently offloads cold data from DRAM to storage. Tested on a Google Pixel 7a, a 4GB LPDDR5 device saw background app capacity rise 64% (17 to 28 apps) and DRAM usage drop 20% (3.1GB to 2.5GB) — performance approaching a native 6GB configuration, while supporting 13B–20B parameter models. AILPBGA™ complements this with a 256-bit, 307GB/s embedded memory solution in a compact 22×22mm package, purpose-built for space- and power-constrained devices.

Global Operations

Longsys operates a multi-brand strategy — including the consumer brand Lexar and South America manufacturing and operations center Zilia — supporting localized production, delivery, and technical support worldwide.

Looking ahead, Longsys will continue advancing its proprietary technologies and collaborating with global ecosystem partners to deliver efficient, scalable, and customized Edge AI storage solutions, accelerating the adoption of intelligent computing.

Product performance data is based on Longsys internal testing; actual results may vary.

About Longsys

Founded in 1999, Longsys (301308.SZ) is a globally leading branded semiconductor memory enterprise, integrating R&D, design, packaging and testing, manufacturing, and sales services. For more information please visit https://www.longsys.com/, and follow Longsys on LinkedIn and Facebook.

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

Longsys Showcases End-to-End AI Storage Solutions at FMS 2026

Longsys Showcases End-to-End AI Storage Solutions at FMS 2026

 New cognitive linguistic entropy measurement finds Claude Shannon's communications paper surpasses both the Turing Machine (1936) and the Turing Test (1950) — LingEQ Engine launched globally August 1

SILICON VALLEY, Calif., Aug. 6, 2026 /PRNewswire/ -- A study applying linguistic entropy measurement to 50 landmark AI papers — spanning 1936 to 2025 — has produced a counterintuitive result: the text with the highest measured cognitive density was not written about AI. Claude Shannon's 1948 A Mathematical Theory of Communication registers the highest LEQ (194, Linguistic Entropy Quotient) value in the entire corpus — surpassing Turing's 1936 On Computable Numbers (LEQ 193) and Turing's 1950 Turing Test paper (LEQ 189). GPT-3, AlphaFold, and DeepSeek-R1 cluster between 168 and 170. The 1955 Dartmouth Proposal, which named the field of artificial intelligence, registers the lowest early-period value at 150. Early AI texts created new conceptual objects and theoretical boundaries; recent landmark work, however transformative, builds within established frameworks.

The study, 90 Years Engraved by Entropy: LEQ Analysis of 50 Landmark AI Papers, is the inaugural release of the LingEQ Curation Series. Conducted using the LingEQ Engine, the study uses multiple language models as analytical instruments, calibrated against an anchor corpus to produce reproducible linguistic entropy values. Its measurements are derived entirely from the text itself, independent of authorship, publication venue, or citation history. The theoretical framework is presented in The Scale of Language, forthcoming from Springer Nature.

The research addresses a structural gap in scientific publishing. arXiv now receives over 20,000 preprints each month, while papers can spend one to two years in peer review. AI can generate increasingly polished texts, making originality and reliability harder to assess. Each submission is evaluated by two or three reviewers, introducing sampling bias and the limits of individual expertise. Foundational work may disappear into an unread database, while papers aligned with current trends can accumulate citations despite limited lasting value. Peer review measures consensus, citation counts measure influence - neither measures what a text actually contains.

LingEQ Engine opened for global public beta on August 1, 2026.

About LingEQ Technologies:

LingEQ Technologies (LingEQ.com) is an independent language measurement platform quantifying the cognitive depth of written text in the age of AI, operating across Silicon Valley, Brisbane, Hong Kong, and Shenzhen.

Media contact:
lingeqcs@lingeq.com

** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **

LingEQ Study Finds: The Most Cognitively Dense Paper in 90 Years of AI History Was Not Written About AI

LingEQ Study Finds: The Most Cognitively Dense Paper in 90 Years of AI History Was Not Written About AI

LingEQ Study Finds: The Most Cognitively Dense Paper in 90 Years of AI History Was Not Written About AI

LingEQ Study Finds: The Most Cognitively Dense Paper in 90 Years of AI History Was Not Written About AI

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