Technology is driving the latest automotive designs. Advanced automotive control functions require reliable embedded memory to meet rigorous industry standards. LEARN MORE Previous Next Silicon Storage Technology, Inc. (SST), is the innovator of SuperFlash® and memBrain™ memory technology, a highly reliable and versatile NOR Flash memory. It is the leading embedded Nonvolatile Memory (NVM) choice of nine of the top ten microcontroller (MCU) vendors. The ESF cell technology is in production for over 20 years, with over 90 Billion devices shipped-to-date. This embedded Flash technology is enabling key innovations in the automotive, secure smart card, Internet of Things (IoT) and Artificial Intelligence (AI) markets. Applications SST’s Flash technology is empowering automotive, secure smart cards, the Internet of Things (IoT) and Artificial Intelligence (AI) applications. SEE APPLICATIONS Products SuperFlash® technology is currently available at leading foundries from 180 nm down to 28 nm with flexible license options to meet your specific needs. SEE PRODUCTS Services Discover how our highly customized set of services can help you bring your design to production. SEE SERVICES Press Releases Enhancing System Architecture Implementation for AI Applications, Microchip Delivers its Analog Embedded SuperFlash® Technology 06 Aug 2019 SST Announces Automotive Grade 1 Qualification of Embedded SuperFlash® Memory on UMC’s 55 nm Platform 02 Jan 2019 SST and SK Hynix System IC Partner to Expand Availability of Embedded SuperFlash® Technology 11 Dec 2018 SST and UMC Announce Qualification of Embedded SuperFlash® Technology on 40 nm CMOS Process 30 Apr 2018 Mie Fujitsu and SST Announce Automotive Platform Development on 40nm Technology 07 Aug 2017 ALL PRESS RELEASES Upcoming Events There are no upcoming events at this time. ALL EVENTS Sitemap Contact Us Privacy Policy Cookie Policy Career Opportunities ©Copyright 1998-2021 Microchip Technology Inc. All rights reserved. This website uses cookies for analytics, personalization, and other purposes. Click to learn more. By continuing to browse, you agree to our use of cookies as described in our Cookies Statement. LEARN MORE OK, ACCEPT NO, LEAVE OUR SITE

Home About News News Latest News Date Published How analog in-memory computing can solve power challenges of edge AI inference 04 Feb 2020 Sitemap Contact Us Privacy Policy Cookie Policy Career Opportunities ©Copyright 1998-2021 Microchip Technology Inc. All rights reserved. This website uses cookies for analytics, personalization, and other purposes. Click to learn more. By continuing to browse, you agree to our use of cookies as described in our Cookies Statement. LEARN MORE OK, ACCEPT NO, LEAVE OUR SITE