Hey community, we’re super excited to share something special with you today – our brand new XIAOML Kit, and trust me, this isn’t just another development kit hitting the market.
A Machine Learning Systems Toolkit in a Pill Bottle
Remember that groundbreaking open source “Machine Learning Systems” textbook by a collaborative group of contributions of students, researchers, and practitioners, led by Professor Vijay Janapa Reddi at Harvard University? Well, we’ve turned those concepts into reality! Working closely with Professor Vijay Janapa Reddi and Professor Marcelo Rovai (UNIFEI), we’ve created a hardware companion that brings those textbook pages to life. It’s like having a Machine Learning Systems lab session right in your hands!
Powered by the Seeed Studio XIAO ESP32-S3 Sense with built-in camera and microphone, this XIAOML Kit includes an expansion board featuring a 6-axis IMU and 0.42″ OLED display, plus an SD card toolkit for data storage. Perfect for students, educators, and developers, the kit enables you to build practical applications in vision, sound, and motion following the textbook’s tinyML® Lab sessions. Think of it as your personal ML lab assistant – perfectly aligned with the curriculum and ready to help you explore every concept in the book. And yes, it literally fits in the new Seeed Studio XIAO packaging of a pill bottle!
Tiny but Mighty: Your Complete TinyML® Playground
Despite its compact size (we weren’t kidding about the pill bottle!), this kit is a powerhouse for TinyML® applications. Here’s what you can do:
- Vision: Got computer vision dreams? The built-in OV3660 camera is ready for your image classification and object detection projects
- Sound: With an integrated digital microphone, you’re all set for keyword spotting and voice command applications
- Motion: The 6-axis IMU expansion board opens up a world of gesture recognition and movement analysis
Plus, we’ve thrown in a crisp 0.42″ OLED display and SD card support – because who doesn’t love seeing their ML models in action and logging data for analysis?
Last but Not Least. A Special Thank You
This project wouldn’t have been possible without some amazing collaborators:
- Professor Vijay Janapa Reddi – for his visionary guidance and support to make the Machine Learning Systems textbook a reality
- Professor Marcelo Rovai – for creating the tinyML® lab sessions using the Kit for the textbook
- The tinyML4D Group Members – for their invaluable contributions to the textbook
- Edge AI Foundation – for sponsoring 100 kits shipped to the International Centre for Theoretical Physics (ICTP) for future tinyML4D workshops and events
Ready to start your TinyML® journey? The XIAOML Kit is now available for pre-order at $38.9 together with the SD Card Toolkit with an estimated shipping on August 10th, 2025. Whether you’re a student, educator, or developer, this kit is your gateway to the exciting world of edge AI. Grab yours and join us in pushing the boundaries of what’s possible with tiny, intelligent devices!
If you’re looking for a detailed tutorial on how to get started with the kit, please visit mlsysbook.ai/kits for the Labs session of the textbook here. P.S. Got questions or ideas? Drop them in the comments below – we’re all ears!
Notes at the end.
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About Author
Lily
Nature lover, baker, cook, DIYer, bug hunter in daily life, and wanna code. Love writing. Words are my natural expression.






