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LiteRT for Microcontrollers: tiny interpreter running quantized models in kilobytes of RAM; the classic TinyML runtime.
Other tools in the same categories.
google-ai-edge/LiteRT
Google's on-device ML runtime formerly called TensorFlow Lite, for Android, iOS, embedded Linux and accelerators.
pytorch/executorch
PyTorch's on-device runtime (1.0 GA in 2025) for phones, wearables and MCUs with Arm Ethos-U and NPU backends.
microsoft/onnxruntime
Cross-platform inference accelerator for ONNX models on CPU, GPU, NPU, mobile and the web.
edgeimpulse.com
End-to-end platform to collect sensor data, train and deploy optimized models to MCUs; now part of Qualcomm.
developer.nvidia.com
Edge AI modules and JetPack SDK (CUDA, TensorRT) for robotics and vision, from Orin Nano to Jetson Thor.
ggml-org/llama.cpp
C/C++ LLM inference engine behind GGUF and most local tools; runs on CPUs, Apple Silicon and GPUs.
apache/tvm
Open deep learning compiler that optimizes models for diverse CPUs, GPUs and accelerators, including edge targets.
emlearn/emlearn
Converts scikit-learn and Keras models into portable, dependency-free C code for microcontrollers.