Silicon Motion to Showcase AI Storage Innovations at COMPUTEX 2026
Silicon Motion Technology will showcase its latest optimized storage innovations for Edge AI, Physical AI, and AI Factory applications at COMPUTEX 2026. As AI architectures rapidly evolve from cloud training to edge inference and autonomous physical AI systems, storage is emerging as a foundational technology for AI data movement, low-latency access, model responsiveness, and sustained workload performance across the entire AI computing stack. At COMPUTEX 2026, Silicon Motion will showcase five major product lines designed to address the evolving storage demands of next-generation AI applications across edge, embedded, enterprise, and automotive platforms. Silicon Motion will demonstrate its latest Edge SSD controller solutions, including the newly announced SM2524XT PCIe Gen5 DRAMless SSD controller optimized for AI inference and KV Cache workloads, the SM2504XT DRAMless SSD controller, and the flagship SM2508 PCIe Gen5 SSD controller designed for high-performance edge storage applications. In the embedded storage segment, Silicon Motion will showcase its latest Embedded UFS and eMMC controller solutions for mobile and edge AI devices, including the new SM2755 UFS 4.1 controller and SM2738 eMMC 5.1 controller. These solutions are designed to deliver high bandwidth, low latency, and improved power efficiency for always-on AI applications and next-generation intelligent edge devices. For AI infrastructure and enterprise storage environments, Silicon Motion will demonstrate its Enterprise SSD controller portfolio, featuring the PCIe Gen6 SM8466 enterprise SSD controller, PCIe Gen5 SM8366 enterprise SSD controller, and the SM8388 controller designed for high-capacity Nearline SSD applications. These solutions are engineered to address the increasing performance, endurance, and scalability requirements of modern AI data centers and AI Factory infrastructure. Silicon Motion will also showcase its Enterprise PCIe NVMe Boot SSD Solutions and Boot Drive controllers designed for next-generation AI infrastructure platforms. Already adopted by leading AI infrastructure providers, these solutions are optimized for enterprise servers, DPUs, networking systems, and AI storage nodes, delivering reliable low-latency boot storage with enhanced durability, data integrity, and enterprise-grade security for continuous AI infrastructure operation. In addition, the company will showcase its Ferri storage solutions for automotive applications, highlighting high-reliability embedded storage technologies designed for intelligent vehicles, autonomous systems, and mission-critical edge computing environments. The Ferri product family complies with key automotive industry standards and certifications, including AEC-Q100 Grade 2/3, ISO 26262, ISO 21434, and ASPICE, delivering enhanced reliability, functional safety, cybersecurity, and long-term operational stability for next-generation automotive AI platforms.
