🚀Explore how PyTorch models can be exported and lowered to the ExecuTorch Runtime for more effective, lightweight, minimalist inference at the Edge. Covers deploying to CPUs, particularly via the XNNPACK backend, for transformer-based and CNN models, before covering deployment to the Ethos-U backend, the TOSA IR, FVPs, and Google Model Explorer.🚀

Neoverse-based Labs for 2026 IEEE Workshop

Workshop materials for optimizing machine learning workloads on Arm Ethos-U NPU (IECON 2025)

Hands-on labs for ML engineers to deploy edge AI inference with ExecuTorch on Arm platforms using PyTorch, XNNPACK, and Ethos-U (educational)