2026/9/18 -ExecuTorch v1.2.0 expands on-device AI to more models and more hardware. This release adds real-time speech inference with Voxtral Realtime, promotes Cortex-M ...
2025/12/24 -ExecuTorch is a lightweight, flexible runtime designed for efficient AI inference, historically focused on mobile and embedded devices.
2026/8/10 -ExecuTorch Arduino library — run PyTorch models on ARM Cortex-M microcontrollers with CMSIS-NN acceleration. Packaged for Arduino Library Manager.
2025/12/4 -This example shows how to deploy and run an ExecuTorch model on an Arm Ethos-U NPU. The pack PyTorch::ExecuTorch provides the source code components to ...
2026/1/12 -This section shows how to use shared buffer for input/output tensors in QNN ExecuTorch, usually graph inputs and outputs on shared memory to reduce huge tensor ...
2025/12/7 -This section is intended to describe the necessary steps to take a PyTorch model and run it using ExecuTorch. To use the framework, you will typically need ...
2026/3/21 -ExecuTorch is an end-to-end solution for enabling on-device inference across mobile and edge devices, including wearables, embedded devices, and ...
2026/10/9 -ExecuTorch is PyTorch's open source export and runtime stack for running AI locally on edge devices such as phones, wearables, laptops, browsers, embedded ...
2025/11/25 -On-device AI across mobile, embedded and edge for PyTorch - executorch/examples/models/phi_4_mini/README.md at main · pytorch/executorch.
2026/9/4 -ExecuTorch is PyTorch's on-device runtime that takes a PyTorch model from any domain and deploys it directly onto edge devices without converting to another ...