Equipped with RISC-V’s powerful Vector ISA and automated customer extension framework, Andes solutions have been adopted in over a dozen innovated datacenter AI/ML accelerators such as Meta’s MTIA first generation silicon. At the same time, the needs for intelligence or more intelligence are fast rising in many edge applications such as ADAS, AR/VR, 5G base stations, SSD Storage, and even general-purpose MCU/MPU. AI/ML is used to improve existing features such as noise reduction for earbuds and picture enhancement for image sensor processors as well as to apply to new areas such as 5G network optimizations.
In this talk, we will discuss the rising demands for intelligence everywhere, and illustrate existing solutions for the Cloud AI and how they are being adopted in the edge applications, using AndesAIRE™ (Andes AI Runs Everywhere) solutions as an example.