Sipeed MAIX-I Module w/o WiFi (RISC-V 64 AIoT, K210)
The Sipeed MAIX-I module is a compact RISC-V 64-bit AIoT platform featuring the Kendryte K210 SoC, designed for deploying TinyML, computer vision, and audio processing at the edge. It integrates a dual-core CPU, a dedicated KPU neural network processor, and an APU for microphone arrays, supporting development with C/C++ SDK, FreeRTOS, and MicroPython.
Features
- Dual-core 64-bit RISC-V CPU (K210) running at 400MHz (overclockable to 800MHz) with an on-chip 8MB high-speed SRAM for rapid AI inference and data processing.
- Integrated KPU (Neural Network Processor) delivers up to 0.5 TOPS for real-time object detection at 60fps@VGA, supporting models like Tiny YOLO and MobileNet.
- Built-in APU (Audio Processor) supports 8-channel microphone arrays, 192kHz sample rate, and hardware FFT for advanced sound source localization and beamforming.
- Flexible FPIOA (Field Programmable IO Array) allows mapping of 255 internal functions to 48 GPIOs, with selectable I/O voltages of 1.8V or 3.3V for versatile peripheral integration.
- Direct interfaces for DVP cameras and MCU LCDs, enabling complete vision systems, and includes accelerators for AES, SHA256, and FFT.
Out of stock
The Sipeed MAIX-I module encapsulates the Kendryte K210 RISC-V AI SoC into a 1-inch square form factor, providing a full-featured edge AI processing unit. It combines a high-performance dual-core processor with a dedicated convolutional neural network accelerator (KPU) and an audio processing unit (APU), enabling low-latency, offline inference for machine vision and hearing applications without relying on cloud connectivity.
Power management is handled by an integrated 3-channel DC-DC converter, supporting a 5V ±0.2V supply with typical operational currents around 300mA. The module’s design emphasizes low power consumption and a small physical footprint, making it suitable for embedding into battery-powered IoT devices, robotics, and industrial predictive maintenance systems where privacy and bandwidth are constraints.
Additional Information
| Weight | 0.008 kg |
|---|---|
| Dimensions | 2.5 × 2.5 × 0.1 cm |















