SKU:K143
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 Aixin 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@2.4G, 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 six-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 dual Grove 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. Dual USB Type-C interfaces not only support efficient data transmission but also provide 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 Yolo11 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.
The StackFlow framework is an open-source AI framework developed for the Module LLM and LLM630 Compute Kit, integrating AI algorithms such as speech, vision, and large language models.
Specification | Parameters |
---|---|
Processor | AX630C@Dual Cortex A53 1.2 GHz MAX.12.8 TOPs @INT4,and 3.2 TOPs @INT8 |
NPU | 3.2TOPs @ INT8 |
RAM | 4GB LPDDR4 (2GB system memory + 2GB hardware acceleration dedicated memory) |
eMMC | eMMC5.1 @ 32GB |
Wired Network | JL2101B-N040C @ 1GbE |
Wireless Network | ESP32-C6 @ Wi-Fi6 2.4G |
USB-UART | CH9102F @ USB to Serial Port |
USB-OTG | USB 2.0 Host or Device |
Antenna Interface | SMA inner hole |
Audio Interface | MIC and SPK Header 5P @ 1.25mm |
Display Interface | MIPI DSI 1x 2Lane MAX 1080p @ 30fps @ 1.25mm |
Camera Interface | MIPI CSI 1x 4Lane MAX 4K @ 30fps @ 1.25mm |
Battery Management | AW32001ECSR charging chip, BQ27220YZFR battery detection chip |
Battery Interface Terminal | 1.25mm specification battery interface terminal |
Compatible Battery Specification | 3.7V lithium battery (lithium-ion or lithium-polymer) |
USB Interface | 2 Type-C interfaces (data transfer, OTG functionality) |
USB Power Input | 5V @ 2A |
Grove Interface | PortA Header 4P @ 2.0mm (I2C) PortC Header 4P @ 2.0mm (UART) |
Storage Expansion Interface | Micro SD card slot |
External Function Interface | FUNC Header 8P @ 1.25mm system wake-up, power management, external LED control, and I2C communication, etc. |
Buttons | 2 buttons for power on/off, user interaction, and reset functions |
Sensor | BMI270 @ 6-axis |
Operating Temperature | 0°C - 40°C |
Product Dimensions | 90.3 x 31.6 x 12.0mm |
Package Dimensions | 133.0 x 83.0 x 17.0mm |
Product Weight | 22.9g |
Package Weight | 60.0g |