Lightning Talk: ExecuTorch on Microcontrollers: Deploying PyTorch To the Smallest Edge - RJ Ascani & Matthias Cremon, Meta
ExecuTorch extends PyTorch's reach to the most resource-constrained devices: microcontrollers, DSPs, and specialized neural processing units powering always-on sensors, wearables, and embedded systems. In this talk, we'll share the current state and roadmap for running ExecuTorch on platforms where every kilobyte of memory and milliwatt of power matters.
What you'll learn:
- How ExecuTorch's design enables deployment from ultra-low-power MCUs to DSP and NPU accelerators, all from a single PyTorch workflow
- The state of backend support for Cadence DSPs, ARM Ethos-U and Cortex-M
- Practical considerations for deploying models with sub-megabyte footprints and milliwatt power budgets
- Case studies spanning always-on audio, embedded vision, and TinyML applications