作者： Jack OmniXRI, 2026/09/18
最後更新日期： 2026/09/18
Arm 官方給出了很非常豐富的學習資源（arm devloper learn），包括六大領域：
- Servers & Cloud Computing
- Laptops & Desktops
- Mobile, Graphics, & Gaming
- Automovie
- Embedded & Microcontrollers
- AI
其中後兩項和 Edge AI & TinyML 有較大的關連，由於內容太多，這裡只整理幾個較常用的學習路徑及重要技術文件，其它內容請直接至官網進行搜索，相信可以幫助大家更快速了解 Arm 相關技術的開發方式。後續會依需求陸續更新連結。
Cortex-M55/M85 相關
- ML Developers Guide for Cortex-M Processors and Ethos-U NPU
- Arm® Cortex®-M55 Processor Technical Reference Manual
- Arm® Cortex®-M85 Processor Technical Reference Manual
Ethos-U55/U65/U85 相關
- Arm® Ethos™-U55 NPU Technical Reference Manual
- Arm® Ethos™-U65 NPU Technical Reference Manual
- Arm® Ethos™-U85 NPU Technical Reference Manual
- Understand the dual-NPU architecture
- Run MobileSAM prompt segmentation on Arm Ethos-U85 with ExecuTorch
Cortex-A KleidiAI 相關
PyTorch/ExecuTorch 相關
- Introduction to TinyML on Arm using PyTorch and ExecuTorch
- Edge AI on Arm: PyTorch and ExecuTorch rock-paper-scissors
- Quantize neural upscaling models with ExecuTorch
相關開發板應用
- Run image classification on an Alif Ensemble E8 DevKit using ExecuTorch and Ethos-U85
- Run a computer vision model on a Himax microcontroller
- Deploy ExecuTorch firmware on NXP FRDM i.MX 93 for Ethos-U65 acceleration
- Learn how to run AI on Edge devices using Arduino Nano RP2040
- Run a local LLM chatbot on a Raspberry Pi 5
- Get started with object detection using a Jetson Orin Nano
- Build and run an image classification NN model on an STM32L4 Discovery board
歡迎留言推薦更多相關的學習路徑連結。
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