Description

 

M5Stack LLM630 Compute Kit AI Large Language Model Reasoning Platform Development AX630C Processor

Description:
- When USB power is connected: Press and hold the PWR/BOOT button, the blue LED will flash: enters download mode. Press the PWR/BOOT button briefly to reset. When only a battery is connected: Press the PWR/BOOT button briefly to power on/reset, double-click the PWR/BOOT button to turn off the power.

- LLM630 Compute Kit is an AI large language model inference development platform designed for edge computing and smart interactive applications. This kit’s mainboard is equipped with an AX630C SoC processor for Aixin, integrating a high-efficiency NPU with 3.2 TOPs@INT8 computing power, providing powerful AI inference capabilities to efficiently execute complex vision (CV) and large language model (LLM) tasks, meeting the needs of various intelligent application scenarios. The mainboard is also equipped with the JL2101-N040C Gigabit Ethernet chip and ESP32-C6 wireless communication chip, supporting Wi-Fi 6@2.4G as the device’s network card, providing high-speed data transmission for bridge functionality between Wi-Fi and Ethernet. Whether through a wired connection for large-scale data exchange or via wireless communication for real-time interaction with a remote server or other smart devices, this platform ensures efficient data exchange. The mainboard also integrates an SMA antenna interface to further enhance the stability and transmission range of wireless signals, ensuring stable communication in complex network environments. It comes with 4GB LPDDR4 memory (of which 2GB is for user usage, 2GB for hardware acceleration) and 32GB eMMC storage, supporting parallel loading and inference of multiple models for efficient and smooth task handling.

- Working in perfect conjunction with the baseboard, the LLM630 Compute Kit’s functionalities and applicability are significantly expanded. It integrates a BMI270 6-axis sensor for precise attitude sensing and motion detection, suitable for various dynamic applications. With the built-in NS4150B Class D amplifier and microphone and speaker interfaces, it supports high-quality voice input and audio output, enabling full-duplex communication for an enhanced user interaction experience. The baseboard also features dual Grove interfaces as well as LCD/DSI and CAM/CSI MIPI interfaces, making it convenient to expand peripherals such as displays and camera modules. Additionally, the baseboard integrates an external antenna interface and a Gigabit Ethernet port, providing flexible network connections and enhanced wireless performance. The device’s user buttons enable functions such as power on/off and mode switching, enhancing usability and interactivity.

- The baseboard’s charging chip and reserved battery socket support custom battery configurations, ensuring the platform can run stably for long periods even without external power. The integrated battery detection chip monitors battery status in real time. The Micro SD card slot allows for storage expansion and will later support AI model updates. The dual Type-C ports not only support high-speed data transmission but also provide OTG functionality, making device connections more flexible and ensuring high efficiency in data exchange and device connectivity.

- LLM630 Compute Kit supports for StackFlow framework, allowing developers to realize edge AI applications with just a few lines of code and quickly start various AI tasks. The platform supports a wide range of AI applications, including computer vision recognition, speech recognition, text-to-speech, and wake word recognition, and supports separate invocation or automated pipeline flow for convenience. The platform also supports models such as vision tasks for Yolo11 DepthAnything, for InternVL2.5-1B multi-modal large model, for Qwen2.5-0.5/1.5B Llama3.2-1B large language models, and for Whisper Melotts voice models, with hot update features. It will continue to support cutting-edge large models, empowering intelligent recognition and analysis, ensuring the platform keeps pace with technological developments and community trends.

- LLM630 Compute Kit is suitable for security monitoring, smart retail, smart agriculture, smart home control, interactive robotics, and education, providing powerful computing capabilities and flexible expandability for edge AI applications.

- For StackFlow framework is an open-source AI framework developed for the Module LLM and LLM630 Compute Kit. It integrates AI algorithms such as speech, vision, and large language models.

Features:
- For Aixin YuanZhi AX630C SoC
- 3.2TOPs at INT8 inference performance
- Gigabit Ethernet communication
- ESP32-C6 network card
- Display interface (DSI)
- Camera interface (CSI)
- Equipped with charging chip and battery detection chip
- Integrated microphone and speaker interfaces
- Micro SD
- Onboard 32GB eMMC storage and 4GB LPDDR4 memory
- Supports OTG functionality
- Equipped with SMA antenna
- Dual Type-C ports
- User buttons
- Dual Grove ports
- 6-axis gyroscope
- Development platform: for StackFlow

Application:
- Smart Home
- Security Monitoring
- Smart Retail
- Smart Agriculture
- Interactive Robotics
- Education & Learning Platform

Package Included:
- 1 x LLM630 Compute Kit
- 1 x SMA 2.4G Wi-Fi Antenna
- 1 x Heatsink
- 4 x EVA Foam Foot Pads