On November 17, 2025, M5Stack once again hosted its annual Open Day, welcoming global users and enthusiasts. This year’s event reached a new milestone, bringing together more than 80 participants from 11 countries to explore the world of M5Stack innovation—where people build, share, and connect.
Over the course of the afternoon, guests explored our all-in-one facility, exchanged ideas face-to-face, and discovered what’s next in the M5Stack ecosystem.
Factory & Office Tour: From idea to device
M5Stack operates an all-in-one facility where product design, production, packaging, quality control and shipping are all managed under one roof. Open Day offered visitors a rare opportunity to see this entire workflow in action.
Guests were divided into three language groups—Chinese, English, and Japanese. Guided by our team, participants followed the full journey of M5Stack products, from design and production to testing and warehousing, gaining a deeper understanding of how each idea becomes a finished piece of hardware.
Highlights Session: New products, new tools, new recognition
After the tour, the meetup session brought everyone together.
Jimmy opened with a brief look back at M5Stack’s story—how a small modular hardware idea grew into a global developer platform—and shared key milestones achieved over the years.
The session then moved into a series of exciting highlights:
User Lightning Talks: Global creators on stage
This year’s Open Day also featured a strong lineup of international speakers. Contributors from China, Japan, Indonesia, and other regions presented projects spanning education, AI, robotics, digital tools, and more.
The session showcased both award-winning professional works and small yet inspiring experiments from individual creators. Each presentation ignited new ideas, and every round of applause reflected the community’s appreciation for creativity and innovation.
Thank You for Being Part of Open Day
Every attendee played an essential role in making the event a success. Your passion, projects, and ideas are what give the M5Stack community its vibrancy. Thank you for traveling from around the world to join us in Shenzhen—to build, share, and connect together.
Looking ahead, M5Stack will continue to:
We look forward to welcoming you again at the next M5Stack Open Day—see you in 2026!
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.
