Longsys (301308.SZ) has announced it will participate in the FMS 2026 event in California, USA, from August 4–6, 2026. Under the theme "Edge AI Storage Fusion," the semiconductor memory enterprise intends to demonstrate integrated hardware-software solutions designed to bridge the gap between edge AI computing and storage. This move targets the transition from technical exploration to commercial-scale deployment for various terminal AI applications.
Redefining Edge AI via Storage-Compute Synergy
The "Edge AI Storage Fusion" strategy focuses on breaking down traditional barriers between storage and memory. Longsys aims to integrate chips, storage, memory, and intelligent scheduling algorithms to achieve true storage-compute synergy. This approach seeks to redefine storage from a passive data medium into a computing support hub and resource scheduling core. By aggregating hardware performance, software efficiency, and ecosystem adaptability, the company intends to enable lower-cost, higher-performance, and more scalable edge AI deployments. This technological fusion is specifically designed to address industry pain points, including insufficient compute adaptation, resource scheduling imbalances, high retrofit costs, and stability issues. The company plans to present these integrated solutions across three mainstream scenarios: AI Box intelligent hosts, AI PC terminals, and AI Mobile embedded devices.
The Storage Foundry Model and Full-Stack Customization
Chief Scientist Dr. Chen Jian will present the "Intelligence at the Edge: Powered by the Storage Foundry Model" at the event. This model moves beyond isolated hardware upgrades to cover the entire value chain, including chip design, hardware, firmware, packaging, industrial design, materials, and manufacturing. Through deep cross-functional collaboration, the Storage Foundry model enables full-stack, efficient customization from the initial design phase through to final delivery. This business model represents a significant investment by Longsys to provide multidimensional upgrades in performance and cost-efficiency. By leveraging proprietary technology and supply chain synergy, the company positions its customized solutions to meet the specific needs of diverse terminal scenarios, facilitating more efficient deployment of edge AI technologies across the global semiconductor and memory enterprise landscape.
Key Takeaways
- Longsys will present integrated storage solutions for AI Box hosts, AI PC terminals, and AI Mobile embedded devices at FMS 2026.
- The "Storage Foundry Model" encompasses the full value chain, from chip design and firmware to packaging and manufacturing.
- The "Edge AI Storage Fusion" theme focuses on integrating chips, memory, and scheduling algorithms to create storage-compute synergy.
TechInsyte's Take
In our view, Longsys is attempting to move the industry away from viewing storage as a commodity component toward treating it as a critical architectural layer for AI. By implementing the Storage Foundry model, they are signaling that standard, off-the-shelf hardware may no longer suffice for the specific demands of edge computing. This strategy suggests that future competitive advantages in the AI sector will depend on how tightly hardware and software are integrated to manage the intense resource scheduling requirements of edge-based intelligence.
Source: PRNEWSWIRE
