Kit Pengiraan LLM630
GARIS
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 highefficiency 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.
1.1. Kit Pengiraan LLM630
1. Communication Capabilities
- Wired Network: Equipped with a JL2101-N040C Gigabit Ethernet chip for high-speed data exchange.
- Wireless Network: Integrates an ESP32-C6 chip supporting Wi-Fi 6 (2.4GHz) and BLE, ensuring efficient wireless data interaction.
- Bridge Function: Enables Ethernet-to-Wi-Fi bridging, facilitating data transmission in various network environments.
- External Antenna Interface: SMA connector for external antennas, enhancing wireless signal stability and transmission range.
2. Processor and Performance
- Main SoC: AX630C from AXERA, featuring a dual-core Cortex-A53 (1.2GHz).
- NPU (Neural Processing Unit): Provides 3.2 TOPS@INT8 (1.2T@FP16) computing power, efficiently handling AI inference tasks (e.g., computer vision and large language model inference).
- Multi-Model Parallelism: Robust processing capability supports loading and running multiple models simultaneously, ideal for complex edge intelligence scenarios.
3. Display and Input
- Sensors: Integrated BMI270 six-axis sensor (accelerometer + gyroscope) for motion detection and posture sensing.
- Audio:
- Built-in NS4150B Class D amplebih hidup
- Onboard microphone and speaker interface for high-quality audio I/O and full-duplex voice communication
- Antara muka:
- LCD/DSI (MIPI) for external displays
- CAM/CSI (MIPI) for camera modules
- User Buttons: Provide power control, mode switching, and enhance device interactivity.
4. Ingatan
- RAM:
- 4GB LPDDR4 total (2GB for user system, 2GB dedicated to hardware accelerators such as the NPU)
- Storan:
- 32GB eMMC for OS, AI models, and application data
- MicroSD card slot for expanded storage and future AI model updates
5. Pengurusan Kuasa
- Sokongan Bateri:
- Onboard charging chip and battery connector for customizable battery configurations
- Power monitoring chip provides real-time battery status feedback
- Bekalan Kuasa:
- Supports USB Type-C power input
- Can operate off battery power for extended runtime without external power
6. GPIO Pins and Programmable Interfaces
- Antara Muka Pengembangan:
- Two Grove ports for easy connection to sensors and peripherals
- MIPI DSI/CSI interfaces for displays and cameras
- Two USB Type-C ports for high-speed data transfer and OTG functionality, enhancing connectivity
- Development and Programming:
- Compatible with M5Stack’s StackFlow framework, enabling rapid edge AI application development with minimal coding
- Supports various AI algorithms and models for vision, speech, text, and more
7. Lain-lain
- AI Model Support:
- Pre-loaded or loadable models such as Yolo11, DepthAnything for vision, InternVL2.5-1B for multimodal, and large
- language models (Qwen2.5-0.5/1.5B, Llama3.2-1B, etc.) plus Whisper Melotts for speech
- Hot update capability to keep the platform current with the latest AI developments
- Senario Aplikasi:
- Suitable for security surveillance, smart retail, smart agriculture, smart home control, interactive robotics, education, and more
- Offers powerful computing and flexible expansion for a wide range of AIoT use cases
- Device Dimensions and Weight: Compact form factor for easy integration into diverse applications and rapid prototyping.
SPESIFIKASI
2.1. Spesifikasi
| Parameter dan Spesifikasi | Nilai |
| Pemproses | AX6300Dual 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 |
| Rangkaian Berwayar | IL2101B-N040C @ 1GbE |
| Rangkaian Tanpa Wayar | ESP32-C6 @ Wi-Fi6 2.4G |
| USB-UART | CH9102F @ USB to Serial Port |
| USB-OTG | USB 2.0 Host or Device |
| Antara Muka Antena | SMA inner hole |
| Antara Muka Audio | MIC and SPK Header 5P @ 1.25mm |
| Antaramuka Paparan | MIPI DSI lx 2Lane MAX 1080p 0 30fps 0 1.25mm |
| Antara Muka Kamera | MIPI CSI lx 4Lane MAX 4K 0 30fps 0 1.25mm |
| Ciri-ciri Tambahan | Programmable RGB LED for low power control. buzzer. reset button |
| Pengurusan Bateri | 1.25mm specification battery interface terminal |
| Battery Interface Terminal | 4 high-speed coreless motors |
| Compatible Battery Specification | 3.7V lithium battery (lithium-ion or lithium-polymer) |
| Antaramuka USB | 2 Tvpe-C interfaces (data transfer, OTG functionality) |
| Input Kuasa USB | 5V 0 2A |
| Antara Muka Grove | PortA Header 4P 0 2.0mm (I2C) PortC Header 4P 0 2.0mm (UART) |
| Storage Expansion Interface | Slot kad SD mikro |
| External Function Interface | FUNC Header 8P @ 1.25mm system wake-up, power management, external LED control, and I2C communication. etc. |
| Butang | 2 buttons for power on/off, user interaction, and reset functions |
| Sensor | BMI270 0 6-axis |
| Pengeluar | M5Stack Technology Co., Ltd |
2.2. Saiz Modul
MULA CEPAT
3.1. UART
- Connect the LLM630 Compute Kit’s UART interface to your computer. You can use debugging tools like Putty to log into the device terminal via serial port for debugging and control. (Default: 115200bps 8N1, default username is root, password is root.)
3.2. Ethernet
- The LLM630 Compute Kit provides an Ethernet interface for easy network access and functional debugging.
3.3. WiFi
- The LLM630 Compute Kit features an onboard ESP32-C6 as the Wi-Fi chip, making it easy to connect to wireless networks.
Refer to the following steps to enable Wi-Fi and configure the connection. Please install the accompanying SMA external antenna before use.
teras-config
Alat konfigurasi rangkaian lalai dalam Kit Pengiraan LLM630 ialah ntmui. Anda boleh menggunakan alat nmtui untuk mengkonfigurasi sambungan Wi-Fi dengan mudah.
nmtui
Amaran FCC
Awas FCC:
Sebarang Perubahan atau pengubahsuaian yang tidak diluluskan secara nyata oleh pihak yang bertanggungjawab untuk pematuhan boleh membatalkan kuasa pengguna untuk mengendalikan peralatan.
Peranti ini mematuhi bahagian 15 Peraturan FCC. Pengendalian tertakluk kepada dua syarat berikut: (1) Peranti ini mungkin tidak menyebabkan gangguan berbahaya, dan (2) peranti ini mesti menerima sebarang gangguan yang diterima, termasuk gangguan yang boleh menyebabkan operasi yang tidak diingini.
NOTA PENTING:
Nota: Peralatan ini telah diuji dan didapati mematuhi had untuk peranti digital Kelas B, menurut bahagian 15 Peraturan FCC. Had ini direka bentuk untuk memberikan perlindungan yang munasabah terhadap gangguan berbahaya dalam pemasangan kediaman.
Peralatan ini menjana, menggunakan dan boleh memancarkan tenaga frekuensi radio dan, jika tidak dipasang dan digunakan mengikut arahan, boleh menyebabkan gangguan berbahaya kepada komunikasi radio. Walau bagaimanapun, tiada jaminan bahawa gangguan tidak akan berlaku dalam pemasangan tertentu. Jika peralatan ini menyebabkan gangguan berbahaya kepada penerimaan radio atau televisyen, yang boleh ditentukan dengan mematikan dan menghidupkan peralatan, pengguna digalakkan untuk cuba membetulkan gangguan dengan satu atau lebih daripada langkah berikut:
- Arahkan semula atau letakkan semula antena penerima.
- Tingkatkan pemisahan antara peralatan dan penerima.
- Sambungkan peralatan ke dalam alur keluar pada litar yang berbeza daripada yang disambungkan kepada penerima.
- Rujuk pengedar atau juruteknik radio/TV yang berpengalaman untuk mendapatkan bantuan.
Pernyataan Pendedahan Sinaran FCC: Peralatan ini mematuhi had pendedahan radiasi FCC yang ditetapkan untuk persekitaran yang tidak terkawal.
Dokumen / Sumber
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Kit Pengiraan M5STACK LLM630 [pdf] Manual Pengguna M5LLM630COMKIT, 2AN3WM5LLM630COMKIT, Kit Pengiraan LLM630, LLM630, Kit Pengiraan, Kit |