Easily optimize and benchmark AI models on a broad variety of ST devices with the ST Edge AI Developer Cloud!

[Julian E.]

The free online platform (formerly named STM32Cube.AI Developer Cloud) now supports MPUs and smart sensors in addition to MCUs. It also supports AI hardware acceleration (NPU) on compatible devices.

Leveraging the ST Edge AI Core technology, the tool allows you to bring your own model or select one from our model zoo, optimize it, and run benchmarks remotely on real ST boards to identify the ideal platform for your project.

This tool is also part of the recently introduced ST Edge AI Suite.

Check it out here!

[HDaji.1]

I want to try your Edge AI D Cloud.

Any MCU to recommend? I prefer low-powered consumption, because my app may use battery.

[Julian E.]

Hello @HDaji.1 ,

Using the ST Model Zoo is a good combination with the ST Edge AI Developer cloud.

In the Model Zoo, there are multiple use cases (image classif, object detection, sound event detection ...) and you can directly flash code example for a few determined boards.

I would say that if you are working with images, you should go with the STM32H747I-DISCO and if you are more oriented with sound related use case, you should go with the B_U585I-IOT02A.

You will find the most gettings started, tutorial etc with these 2 boards.

Have a good day,

Julian