Silicon Motion Unveils Advanced Storage Solutions for AI at FMS 2026

Silicon Motion Technology Corporation, a global leader in NAND flash controller technology for solid-state storage devices, is set to present its latest storage innovations at the Future of Memory and Storage (FMS) 2026 event in Santa Clara, California. The company will highlight cutting-edge solutions designed for AI Factory, Edge AI, and Physical AI applications, reflecting the rapidly evolving demands of artificial intelligence infrastructure.

Meeting the Demands of Next-Generation AI Storage

As artificial intelligence transitions from large language model training to Agentic AI and real-time inference, the need for fast, reliable, and predictable data access has never been greater. Modern AI workloads, including KV cache and Agentic AI applications, require storage systems that deliver high acceleration, low latency, and consistent performance. Silicon Motion addresses these requirements with five major product lines, supporting a wide range of enterprise, edge, embedded, and automotive platforms.

Enterprise Storage Solutions for AI Infrastructure

  • SM8366 MonTitan SSD Reference Design Kit: Built on the SM8366 PCIe Gen 5 controller, this enterprise SSD platform supports U.2, E3.S, and E3.L form factors with both TLC and QLC NAND. It offers capacities from 32 TB and 64 TB (TLC) up to 256 TB (QLC), making it suitable for diverse AI infrastructure needs. The platform features configurable over-provisioning up to 28% for endurance ratings of up to 3 DWPD, and is powered by the patented PerformaShape QoS Engine for ultra-low latency and predictable quality of service, ideal for AI inference and KV cache offload.
  • SM8466: A PCIe Gen 6 enterprise SSD controller delivering up to 28 GB/s sequential throughput and 7 million random IOPS. It supports SSD capacities beyond 512 TB, targeting next-generation AI infrastructure and data-intensive workloads.
  • SM8388: This PCIe Gen 5 enterprise SSD controller features a single-controller architecture optimized for high-capacity SSDs, offering a cost-effective solution for hyperscale AI infrastructure and large-scale inference deployments.

Enterprise Boot Drive Solutions

  • Enterprise PCIe NVMe Boot SSDs: Designed for enterprise servers, DPUs, networking equipment, and AI storage nodes, these boot drives deliver reliable, low-latency performance with enterprise-grade endurance and security.
  • SM8008: A PCIe Gen 5 enterprise controller compliant with OCP Boot Drive specifications, offering up to 14 GB/s performance at under 5 W, optimized for datacenter boot drives and energy-efficient server racks.

Edge SSD Controllers for AI PCs and Edge AI

  • SM2524XT: A PCIe Gen 5 DRAM-less SSD controller delivering up to 14.5 GB/s sequential read and 2.8 million IOPS random performance, tailored for AI inference and KV cache offloads at the edge.
  • SM2508: PCIe Gen 5 SSD controller with up to 14.5 GB/s read and write speeds and 2.5 million IOPS random performance, supporting high-performance AI PCs and edge AI platforms.

Embedded UFS & eMMC Controllers for Mobile and Edge AI

  • SM2755: UFS 4.1 controller offering high bandwidth, ultra-low latency, and exceptional power efficiency for AI-enabled smartphones, wearables, and intelligent edge devices.
  • SM2738: eMMC 5.1 controller optimized for embedded, industrial, and smart home applications, delivering high reliability and low power consumption for AI-enabled devices.

Ferri Solutions for Automotive and Physical AI

Silicon Motion’s Ferri storage solutions are engineered for automotive and physical AI applications, providing high-reliability embedded storage that meets AEC-Q100 Grade 2/3, ISO 26262, ISO 21434, and ASPICE standards. These solutions are designed for software-defined vehicles, autonomous systems, drones, robotics, and mission-critical edge computing, ensuring functional safety, cybersecurity, and long-term reliability.

At FMS 2026, Silicon Motion will demonstrate how its comprehensive portfolio of storage controllers and solutions addresses the unique challenges of AI Factory, Edge AI, and Physical AI environments, supporting the next wave of innovation in artificial intelligence and data storage.