K143 M5Stack LLM630 Compute Kit (AX630C)

The LLM630 Compute Kit is an AI large language model inference development platform designed for edge computing and intelligent interaction applications. The kit's mainboard is equipped with the Axera AX630C SoC processor, 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 a JL2101-N040C gigabit Ethernet chip and an ESP32-C6 wireless communication chip, supporting Wi-Fi 6 @ 2.4 GHz, used as the device's network card, providing high-speed data transmission capabilities and achieving Wi-Fi and Ethernet bridging functionality. Whether through wired connections for large-scale data exchange or through wireless communication for real-time interaction with remote servers or other smart devices, this platform ensures efficient data interaction. The mainboard also integrates an SMA antenna interface to further enhance wireless signal stability and transmission distance, ensuring stable communication in complex network environments. It features built-in 4GB LPDDR4 memory (2GB for user use, 2GB dedicated to hardware acceleration) and 32GB eMMC storage, supporting parallel loading and inference of multiple models, ensuring efficient and smooth task processing.

The baseboard, perfectly complementing the mainboard, significantly expands the functionality and applicability of the LLM630 Compute Kit. It integrates a BMI270 6-axis sensor, providing precise attitude sensing and motion detection capabilities, suitable for various dynamic applications. The built-in NS4150B Class D amplifier and microphone and speaker interfaces support high-quality voice input and audio output, achieving full-duplex communication mode, enhancing user interaction experience. The baseboard also features 2 HY2.0-4P interfaces and LCD/DSI and CAM/CSI MIPI interfaces, facilitating the expansion of 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 for the device. Furthermore, the device's user buttons enable functions such as power on/off and mode switching, improving the device's usability and interactivity.

The baseboard's charging chip and reserved battery socket support custom battery configurations, ensuring the platform can run stably for a long time even without external power. The integrated battery detection chip monitors the battery status in real-time. The microSD card slot supports storage expansion, as well as future support for AI model update functions. 2 USB Type-C interfaces not only support efficient data transmission but also provide USB OTG functionality, making device connections more flexible and ensuring high efficiency in data exchange and device connection.

The LLM630 Compute Kit supports the StackFlow framework, allowing developers to easily implement edge intelligent applications with just a few lines of code, quickly launching various AI tasks. The platform supports a variety of AI applications, including visual recognition, speech recognition, text-to-speech, and wake word recognition, and supports separate invocation or pipeline automatic flow, facilitating development. The platform also supports vision models like Yolov11 DepthAnything, multi-modal large models like InternVL2.5-1B, large language models like Qwen2.5-0.5/1.5B Llama3.2-1B, and speech models like Whisper Melotts, supporting hot updates, and will continue to support the most advanced popular large models in the future, empowering intelligent recognition and analysis, ensuring the platform keeps pace with technological development and community trends.

The LLM630 Compute Kit is suitable for fields such as security monitoring, smart sales, smart agriculture, smart home control, interactive robots, and education, providing powerful computing capabilities and flexible expandability for edge intelligent applications.