Nov. 12, 2025–M5Stack, a global leader in modular IoT and embedded development platforms, today announced Arduino Nesso N1, a compact and powerful development kit co‑engineered with Arduino, the world’s leading open‑source hardware and software company.
Powered by the ESP32‑C6, the Nesso N1 delivers multi‑protocol connectivity including Wi‑Fi® 6, Bluetooth® 5.3, Thread 1.4, Zigbee® 3.0, Matter, and LoRa® (850–960 MHz), all packed into a sleek, pre‑assembled enclosure. With its 1.14‑inch touch display, programmable buttons, IMU, IR transmitter, RGB LED, buzzer, and rechargeable battery, it offers an intuitive and interactive platform for rapid IoT development.
Highlights of Nesso N1
A Developer-Friendly, Extensible Ecosystem
Nesso N1 delivers robust hardware expandability, allowing developers to easily extend its capabilities through Grove and Qwiic connectors—compatible with Arduino Modulino nodes, third‑party modules, and the full M5Stack sensor‑hat ecosystem. It also integrates seamlessly with Arduino Cloud for remote monitoring and data visualization.
Complementing this is an open and flexible development environment. Developers can start coding with Nesso N1 in their preferred workflow—whether using Arduino IDE, MicroPython, or UiFlow—making it a perfect fit for everything from hobby projects to professional applications.
From plug-and-play compatibility to seamless connectivity and powerful programmability, it’s everything you need in a pocket-sized powerhouse. Check out Nesso N1 on the Arduino Store or explore Arduino Docs for documentation, examples, and specs.
Advancing Innovation Through Collaboration
Arduino Nesso N1 marks a major step forward in the collaborative innovation between M5Stack and Arduino. Designed with the open‑source community in mind, this joint effort expands the ecosystem with a more integrated, flexible, and developer‑centric product experience. The launch of Nesso N1 is expected to inspire new ideas, accelerate project development, and support the diverse needs of developers worldwide.
In today’s rapidly advancing world of intelligent applications, image and video management is evolving at an unprecedented pace.
Imagine capturing breathtaking travel landscapes or precious moments of your child’s growth — and having your photos automatically categorized, tagged, and searchable via natural language. All processing happens locally, with no dependence on cloud servers, ensuring both speed and privacy. With the powerhouse performance of the M5Stack LLM‑8850 Card, bring your vision to life with an intelligent, deeply personalized photo album that’s uniquely yours.
M5Stack LLM‑8850 Card is an M.2 M‑Key 2242 AI accelerator card designed for edge devices. It is a powerful yet energy-efficient AI edge computing module, purpose-built for multi-modal large models, on-device inference, and intelligent analysis. It delivers high-performance inference for both language and vision models, and can be deployed effortlessly across diverse devices to enable offline, private AI services.
In this article, we’ll show you how to build an intelligent photo management platform with M5Stack LLM-8850 Card, making the organization of your pictures and videos smarter, faster, and more secure.
To achieve this, we’ll leverage Immich, an open‑source self‑hosted photo and video management platform that supports automatic backup, intelligent search, and cross‑device access.
Immich is an open-source self-hosted photo and video management platform that supports automatic backup, intelligent search, and cross-device access.
1. Manually download the program and upload it to raspberrypi5, or pull the model repository with the following command.
git clone https://huggingface.co/AXERA-TECH/immich
File Description:
m5stack@raspberrypi:~/rsp/immich $ ls -lh
total 421M
drwxrwxr-x 2 m5stack m5stack 4.0K Oct 10 09:12 asset
-rw-rw-r-- 1 m5stack m5stack 421M Oct 10 09:20 ax-immich-server-aarch64.tar.gz
-rw-rw-r-- 1 m5stack m5stack 0 Oct 10 09:12 config.json
-rw-rw-r-- 1 m5stack m5stack 7.6K Oct 10 09:12 docker-deploy.zip
-rw-rw-r-- 1 m5stack m5stack 104K Oct 10 09:12 immich_ml-1.129.0-py3-none-any.whl
-rw-rw-r-- 1 m5stack m5stack 9.4K Oct 10 09:12 README.md
-rw-rw-r-- 1 m5stack m5stack 177 Oct 10 09:12 requirements.txt
unzip docker-deploy.zip
cp example.env .env
4. Start the container
docker compose -f docker-compose.yml -f docker-compose.override.yml up -d
If started successfully, the information is as follows:
m5stack@raspberrypi:~/rsp/immich $ docker compose -f docker-compose.yml -f docker-compose.override.yml up -d
WARN[0000] /home/m5stack/rsp/immich/docker-compose.override.yml: the attribute `version` is obsolete, it will be ignored, please remove it to avoid potential confusion
[+] Running 3/3
✔ Container immich_postgres Started 1.0s
✔ Container immich_redis Started 0.9s
✔ Container immich_server Started 0.9s
(mich) m5stack@raspberrypi:~/rsp/immich $ python -m immich_ml
[10/10/25 09:50:12] INFO Starting gunicorn 23.0.0
[10/10/25 09:50:12] INFO Listening at: http://[::]:3003 (8698)
[10/10/25 09:50:12] INFO Using worker: immich_ml.config.CustomUvicornWorker
[10/10/25 09:50:12] INFO Booting worker with pid: 8699
2025-10-10 09:50:13.589360675 [W:onnxruntime:Default, device_discovery.cc:164 DiscoverDevicesForPlatform] GPU device discovery failed: device_discovery.cc:89 ReadFileContents Failed to open file: "/sys/class/drm/card1/device/vendor"
[INFO] Available providers: ['AXCLRTExecutionProvider']
/home/m5stack/rsp/immich/mich/lib/python3.11/site-packages/immich_ml/models/clip/cn_vocab.txt
[10/10/25 09:50:16] INFO Started server process [8699]
[10/10/25 09:50:16] INFO Waiting for application startup.
[10/10/25 09:50:16] INFO Created in-memory cache with unloading after 300s
of inactivity.
[10/10/25 09:50:16] INFO Initialized request thread pool with 4 threads.
[10/10/25 09:50:16] INFO Application startup complete.
In your browser, enter the Raspberry Pi IP address and port 3003, for example: 192.168.20.27:3003
Note: The first visit requires registering an administrator account; the account and password are saved locally.
Once configured, you can upload images.
The first time, you need to configure the machine learning server. Refer to the diagram below to enter the configuration.
Set the URL to the Raspberry Pi IP address and port 3003, e.g., 192.168.20.27:3003.
If using Chinese search for the CLIP model, set it to ViT-L-14-336-CN__axera; for English search, set it to ViT-L-14-336__axera.
After setup, save the configuration.
The first time, you need to manually go to the Jobs tab and trigger SMART SEARCH.
Enter the description of the image in the search bar to retrieve relevant images.
Through this hands-on project, we’ve not only built a powerful smart photo album platform, but also experienced the exceptional performance of the M5Stack LLM‑8850 Card in edge AI computing. Whether setting up a private photo album on your Raspberry Pi or deploying intelligent image processing in security scenarios, the M5Stack LLM‑8850 Card delivers efficient, stable computing power you can rely on.
It brings AI closer to where your data resides, enabling faster, more secure processing and turning your ideas into reality. If you’re looking for a solution for on-device AI inference, give M5Stack LLM‑8850 Card a try — it might just become the core engine of your next project.
With the outstanding modular design, excellent user experience, and innovative integration of hardware and software ecosystems, the M5Stack Series was honored with the 2025 Good Design Award!
The Good Design Award, founded in Japan in 1957, celebrates products that combine aesthetic design with social impact. This year, the M5Stack Series stood out among thousands of entries for its modular system, open ecosystem, and design that empowers creativity across all levels.
Designed for Innovation
M5Stack is a modular prototyping tool for turning ideas into real products fast. It combines a durable enclosure, standardized expansion modules, and support for multiple programming languages. Its GUI environment, UIFlow, lowers the barrier for beginners while serving professionals, making hardware development simpler and more efficient.
Since its launch in 2017, M5Stack has built a vibrant global community of developers and educators. The series has become a common sight not only in schools, research institutions, and maker activities but also across industrial and IoT innovation projects. In Japan alone, dozens of introductory books have been published on IoT and robotics development using M5Stack.
Today, the M5Stack Series encompasses more than 400 products, widely used in education, industry, and embedded systems, significantly enhancing rapid development and fostering innovation.
Evaluation Comments from Jury members
The Good Design Award 2025 judges commended M5Stack :
M5Stack is a development platform featuring a modular design that allows users to freely combine a diverse lineup of modules. With its highly refined enclosure and attention to detail, it offers a level of aesthetic appeal and usability unmatched by conventional microcontroller boards—reminding users of the joy of creating tools born from their own imagination.
Supported by an active global community, M5Stack has found widespread use across various fields—from education and hobbyist projects to industrial and embedded product applications. Its standardized expansion system and GUI-based tools make it accessible for both beginners and advanced developers alike, offering a broad entry point into creative technology development.
As programming becomes more approachable in the age of AI, M5Stack is expected to play a key role in unlocking creativity across diverse groups of people, opening up new possibilities for innovation and making.
The official announcement: Good Design Award 2025 — M5Stack Seires
About GOOD DESIGN AWARD
GOOD DESIGN AWARD is a social movement to make people's lives, industries, and society more well-off through design. Since its start in 1957, it has gained widespread support along with its logo G Mark. GOOD DESIGN AWARD is for products, architecture, software, systems, and services that are relevant to people. Whether visible or invisible, anything that is constructed for some ideal or purpose is considered as design, and its quality is evaluated and honored.
The GOOD DESIGN AWARD helps people to discover the possibilities of design and expand the fields where design can be used through screening and a wide range of promotion, and is dedicated to a well-off society where everyone can enjoy creative life.
The M5Stack Series has been officially included in the GOOD DESIGN AWARD Gallery, which archives and showcases all award-winning works by year since its establishment in 1957.
About M5Stack
Founded in 2017, M5Stack creates modular, open-source hardware development tools designed to streamline prototyping and productization. Based in Shenzhen, China, M5Stack has become a globally recognized developer platform for IoT, AIoT, and robotics solutions.
Learn more about M5Stack and explore our products: https://shop.m5stack.com/
