Embedded World 2025: Silicon Motion Showcasing Storage Solutions for AI and Display Interface SoCs
Including SM2264XT-AT PCIe Gen4 automotive-grade SSD controller, Ferri embedded storage solutions, SM770 display interface SoC, and MonTitan 128TB QLC SSD powered by SM8366
This is a Press Release edited by StorageNewsletter.com on March 10, 2025 at 2:01 pmSilicon Motion Technology Corp. announced its participation in Embedded World 2025, taking place from March 11–13, 2025, in Nuremberg, Germany.
At the event, the company will showcase its latest storage and display interface solutions, including PCIe NVMe Gen4/5 SSD controllers, Ferri embedded storage solutions, and advanced display interface SoCs. These innovations are designed to maximize performance per watt, extend device longevity and power for the next-gen of AI-driven industrial, embedded, automotive, and data center applications.
Products showcased at Embedded World in Hall 1, Stand 358 include:
- Automotive SSD Controllers
The SM2264XT-AT is a PCIe Gen4 automotive-grade SSD controller featuring 8 NAND channels with speeds of up to 1,600MT/s per channel. The controller is equipped with built-in SR-IOV capability, which allows up to 8 VMs to share a single physical PCIe device, enhancing flexibility, scalability, security, and reliability for automotive applications. Designed to meet AEC-Q100 Grades 2/3, ISO 26262 functional safety, and ISO 21434 cybersecurity standards, the SM2264XT-AT offers unmatched reliability for automotive and embedded applications. This SSD is the 1st solution to achieve ASPICE Capability Level 3 certification, ensuring industry-leading software quality and compliance for next-generation automotive systems.
- Ferri Family: Advanced Storage Solutions for Embedded System, Industrial, and AIoT Applications
The company‘s Ferri embedded storage solutions – including FerriSSD, Ferri-eMMC, and Ferri-UFS – are designed to meet the demands of AI embedded systems such as industrial automation and automotive AI applications. Manufactured using high-quality industrial and automotive-grade processes, these solutions ensure reliability, data integrity, and endurance for edge computing, industrial control, medical devices, robotics, and smart infrastructure.
Featuring proprietary technologies such as NANDXtend ECC, IntelligentScan, and DataRefresh, Ferri solutions deliver enhanced endurance, error correction, and real-time health monitoring, ensuring stable and long-lasting performance in harsh industrial environments and mission-critical embedded applications.
SM770 Display Interface SoC: Premium Multi-Display Solution
The SM770 is a high-performance display interface SoC engineered for multi-display and supports up to three 4K UHD (3840×2160@60p) displays for industrial and embedded systems applications.
The SM770 integrates Silicon Motion’s proprietary CAT 2.0 (Content Adaptive Technology) to ensure the best balance between performance and computing power, unleashing the CPU from constant heavy loading and reducing bandwidth usage and latency for a seamless viewing experience. Moreover, the SM770 InstantView software enables plug-and-play functionality without requiring a display driver for a driverless user experience. Broad compatibility with Microsoft Windows, Apple macOS, Linux, Android, ChromeOS, and major display brands, the SM770 delivers a flexible and seamless multi-display solution for both professional and consumer applications.
- MonTitan 128TB QLC SSD Development Kit: Industry-First PCIe Gen5 Reference Design Kit (RDK) with Flexible Data Placement (FDP) and PerformaShape for AI Workloads
The MonTitan 128TB QLC SSD, powered by SM8366, supports PCIe Gen5 x4 NVMe 2.0 and OCP 2.5 data center specifications, offering unmatched performance, QOS, and capacity for next-gen large AI data lake storage needs. It delivers sequential read speeds of over 14GB/s and random read performance exceeding 3.3 million IOs, maximizing throughput and increasing capacity/watt efficiency. MonTitan SSD solutions provide faster LLM training and GNN completion times, reducing power budgets to AI storage platforms while improving AI GPU utilization.