2026/10/14 -What you'll learn. Practical Edge Linux, mobile, and embedded NPU deployment workflows that turn PyTorch models into lightweight ExecuTorch applications.
2026/9/4 -Deploy PyTorch models with ExecuTorch: our full tutorial. ExecuTorch documentation and the ExecuTorch GitHub. The block repos: Android Demo image ...
2026/10/14 -Module 1: Core ExecuTorch workflow and XNNPACK · Module 2: Vision workloads and quantization · Module 3: ExecuTorch on Android · Module 4: Ethos-U deployment.
2026/10/13 -Developers learn how to deploy PyTorch models with ExecuTorch on Arm CPUs and NPUs. The Course covers backend delegation, quantization, and performance ...
2026/10/26 -In this blog post, you will learn: How ExecuTorch connects PyTorch models to optimized Arm CPU kernels. Why streaming ASR needs its own quality evaluation, and ...
2026/9/18 -Learn how to build low-latency on-device AI apps for Android in 2026 using Android AICore, Gemini Nano, ExecuTorch, and Jetpack Compose.
2026/10/18 -Build an offline Android summarizer with llama.cpp, Kotlin, and Qwen2.5 0.5B: the JNI setup, Galaxy S22 Ultra benchmarks, and where the summaries went wrong ...
2026/9/23 -Prepare the Android command-line tools and connect an Arm-based Android phone. · Download and run the Depth Anything V2 Small INT8 ExecuTorch model from the Arm ...
2026/8/27 -The MLX delegate is the ExecuTorch backend for Apple Silicon GPUs via the MLX framework. It compiles PyTorch models into a custom FlatBuffer bytecode format at ...
2026/9/3 -This page describes the various SDK tools and feature for Linux/Android and Windows developers. For the integration flow of different developers, please refer ...