At RISC-V North American Summit in Santa Clara, Ashling and Embecosm today announced robust ExecuTorch implementations optimised for resource-constrained devices, including RISC-V based microcontrollers. The collaboration enables developers to deploy and run PyTorch-based AI models efficiently on baremetal and embedded targets, bringing advanced AI inference to the edge.
From PyTorch to ExecuTorch on Edge Devices
PyTorch is an open-source software framework that developers use to build, train and run AI models. Launched in 2016 by Meta and written with a very Pythonic feel, it is popular because it is easy to read, quick to iterate, and powerful enough for innovative research and large-scale production. The ecosystem includes well-known libraries for vision and audio, plus a vast community that contributes examples, pre-trained models, and best practices.
Read this PDF from Ashling to find out more.
