Alif Semiconductor states that developers can now use the ExecuTorch runtime on its Ensemble E4/E6/E8 series of MCUs and fusion processors for AI applications. This allows resource-constrained hardware to use the PyTorch framework to create lightweight models for low-latency, high-accuracy inference at the edge.
ExecuTorch is an extension of the popular PyTorch ML framework, enabling developers to build generative AI applications to run locally in battery-powered endpoint devices such as smart glasses, human-to-computer interfacing, healthcare and diagnostics, robotics, transportation, toys and education, smart homes, and smart city equipment.
“Alif’s continuous innovation keeps us at the forefront of edge AI, now extending into the era of generative AI. With native support for the ExecuTorch runtime on our Ensemble microcontrollers, we’re expanding what’s possible for AI at the MCU level. For embedded device manufacturers building next-generation intelligent products, Alif remains the trusted leader in bringing AI to the edge,” said Reza Kazerounian, President of Alif Semiconductor.
