Silicon Motion and MediaTek to Showcase Advanced Storage Solutions for Next-Generation AI-Ready Automotive Platforms at FMS 2026 Keynote

Joint keynote showcases intelligent storage for next-generation AI-driven vehicles.

TAIPEI, Taiwan--(BUSINESS WIRE)--Silicon Motion Technology Corporation (NasdaqGS: SIMO), a global leader in designing and marketing NAND flash controllers for solid-state storage devices, today announced that MediaTek will join Silicon Motion on stage during its FMS 2026 keynote to showcase their collaboration in advancing AI-ready automotive platforms. The joint presentation will feature MediaTek’s latest automotive cockpit platform powered by Silicon Motion’s advanced automotive storage technologies, highlighting how high-performance, reliable storage supports the data-intensive demands of next-generation intelligent vehicles.

FMS 2026 Keynote Details

Title: Storage Powering Agentic AI Everywhere: From Physical Intelligence to Assured AI Infrastructure

Date: Tuesday, August 4, 2026

Time: 2:20 p.m. – 2:50 p.m.

Location: Santa Clara Convention Center

Speakers:

• Stanley Huang, Associate VP of Edge SSD Business, Silicon Motion
• Waheed Ahmed, Director of Automotive System Architecture, MediaTek
• Shamil Sharief, Senior Director of Enterprise Product Marketing, Silicon Motion

As the automotive industry enters the era of Physical AI, intelligent vehicles are becoming one of the most demanding Edge AI applications, generating and processing an unprecedented amount of data. With more than a decade of automotive innovation, Silicon Motion has become a trusted storage technology partner across the automotive ecosystem, delivering high-performance, power-efficient, secure, and reliable storage solutions for next-generation AI-defined vehicles. Through close collaboration with leading automotive OEMs, Tier-1 suppliers, SoC partners, and NAND manufacturers, Silicon Motion's technologies have been widely adopted in AI-enabled cockpit and in-vehicle computing platforms worldwide.

"As AI workloads become increasingly data-intensive, storage architecture has become the performance foundation for intelligent systems—from AI-defined vehicles to AI factories," said Stanley Huang, Associate VP of Edge SSD Business at Silicon Motion. "Together with MediaTek, we're showcasing how advanced storage architecture delivers intelligent data management, predictable performance, and the reliability required for the next generation of AI-defined vehicles."

"AI is transforming vehicles into intelligent computing platforms, creating new demands for high-performance and reliable data infrastructure," said Waheed Ahmed, Director of Automotive System Architecture at MediaTek. "Our collaboration with Silicon Motion demonstrates how advanced computing and intelligent storage together enable the future of AI-ready vehicles."

In the keynote, Silicon Motion will also discuss how intelligent storage is evolving to support the next generation of Agentic AI—from Physical Intelligence at the edge to assured AI infrastructure in the data center. Through continued innovation in automotive storage and next-generation Enterprise SSD technologies, including PerformaShape™, Silicon Motion is building the storage foundation that powers AI everywhere.

About Silicon Motion

Silicon Motion Technology Corporation (NasdaqGS: SIMO) is the global leader in supplying NAND flash controllers for solid-state storage devices. The company ships more SSD controllers than any other supplier worldwide for servers, PCs, and other edge devices, and is also the leading merchant provider of eMMC and UFS embedded storage controllers used in smartphones, IoT products, and automotive applications.

Silicon Motion also delivers customized, high-performance controller solutions for Enterprise SSDs, Enterprise boot drives, Edge SSDs, Embedded UFS & eMMC, and Ferri solutions for automotive. Its controllers and storage solutions are designed to power the world’s most advanced AI Infrastructure, Edge AI, and Physical AI, combining high performance, low power, and proven reliability.