test test

NEW Releasing: Grove AI HAT for Edge Computing and Look forward to your ideas!



The Sipeed MAIX-I module is the first RISC-V 64 AI module based on the powerful KPU K210. As a close partner of Sipeed, we are very excited to announce that we are going to make a Grove HAT for Raspberry Pi based on the Sipeed MAIX-I module, aiming at enabling more possibilities of AI model in areas such as predictive maintenance, anomaly detection, robotics and many more. Grove is a modular plug-and-play ecosystem that includes more than 200 different kinds of sensor, actuators, displays etc.



We are going to release two versions, one based on the Sipeed MAIX-I with WiFi and another without. Both can work as a Raspberry Pi HAT, or work by themselves. The basic function and features are confirmed and listed here. But we are open to suggestions from the community about how to make this product.



Grove AI HAT for Edge Computing without WiFi



Features

Core Module: Sipeed MAIX-1 with WiFi



Peripheral:

1 x LCD Interface

1 x Camera Interface

6 x Grove: 2 x Digital, 1 x I2C, 1 x UART, 2 x Analog

1 x UART Mode Switch



LED:

LED1: Reset

LED2: Boot/User

LED3: Power LED



Power:

1 x USB-C



Others:

Raspberry Pi form factor

12-Bit ADC

USB to UART chip



Grove AI HAT for Edge Computing with WiFi



Features

Core Module: Sipeed MAIX-1 with WiFi



Peripheral:

1 x LCD Interface

1 x Camera Interface

6 x Grove: 2 x Digital, 1 x I2C, 1 x UART, 2 x Analog

1 x UART Mode Switch



LED:

LED1: Reset

LED2: Boot/User

LED3: Power LED



Power:

1 x USB-C



Others:

Raspberry Pi form factor

WiFi Chip ESP8285 inside

12-Bit ADC

USB to UART chip



So, don’t hesitate to share your thoughts and ideas with us in this forum! Check out the basic layout we have so far and let us know what features you would like to see and have the chance of making it to the final product. If your idea makes it to mass production, we will send you a free sample with your name customized onto the board!



These products are designed for you and the rest of the community, so it only makes sense for us to listen to what you want for your next AI project.