Sipeed MAix: AI at the edge
High-performance AI module for edge computing
- CPU: RISC-V Dual Core 64bit, 400Mh adjustable
- FPU: IEEE754-2008 compliant high-performance pipelined FPU
- Debugging Support: High-speed UART and JTAG interface for debugging
- Static Random-Access Memory (SRAM): 6MiB general-purpose SRAM memory and 2MiB AI SRAM memory
- Field Programmable IO Array (FPIOA/IOMUX): Allows users to map 255 internal functions to 48 free IOs
- Digital Video Port (DVP): Maximum frame size 640x480
- FreeRtos & Standard SDK: Supports FreeRtos and Standard development kit
- MicroPython Support: Supports MicroPython on M1
- Machine vision: Based on convolutional neural network
- Machine hearing: High-performance microphone array processor
- Supply Voltage(V): 5.0 ± 0.2
- Supply Current(mA): >300
- Working Temperature(°C): -30 ~ 85
- Length(mm): 25
- Width(mm): 25
- Height(mm): 1
- Weight(g): 8
Top Features:
- High-performance KPU K210 CPU
- Low power consumption
- Supports TensorFlow Lite
- Compact design with integrated Flash memory
Sipeed MAix is a purpose-built module designed for AI at the edge, offering high performance in a small footprint. It enables the deployment of high-accuracy AI solutions at a competitive price, suitable for various industrial applications such as predictive maintenance, machine vision, and robotics.
MAix features a powerful KPU K210 CPU with dual-core RISC-V architecture, 8MB high-speed SRAM, and various accelerators and peripherals for enhanced functionality. The module integrates seamlessly with MAIX development boards, providing a comprehensive hardware and software infrastructure for AI-based solutions.
MAix supports original standalone SDK, FreeRTOS SDK, and MicroPython, making it versatile for different development environments. It also offers deep learning capabilities, supporting popular models like tiny-Yolo and TensorFlow Lite for efficient AI processing at the edge.
* Images are for illustration only; actual product may vary.