Overview
Multiple and reconfigurable connectivity functions to expedite your AI/ML System. Easy-to-use hardware platform for multimodal AI/ML solutions based on the RA6M3 MCU from the RA Family of 32-bit MCUs.
The hardware platform is intended to be used for different kinds of AI/ML single or multimodal use cases, supporting vision and real-time analytics enabled by Reality AI Software. It enables various combinations of different plug-in sensors in combination with the available on-board analog microphones and camera.
The AI Kit will enable you to evaluate and test the available application examples, but also develop your own solutions by using the available ecosystem and AI/ML software.
Features
- Hardware Features:
- Up to six Digilent Pmod™ ports (SPI/UART/I2C) for sensors and peripherals connectivity
- Camera and analog microphones interface
- Ethernet and CAN interface
- External SDRAM (128Mbit)
- USB full-speed device support
- Segger J-Link® on-board debugger with Virtual COM port functionality
- Add-on AI Features:
- Reality AI Tools
- Multimodal solutions from Renesas Ready Partner Network
Products in the Design
| 1894-32 | 10Base-T/100Base-TX Integrated PHYceiver™ with RMII Interface |
| ISL80103 | High Performance 3A Linear Regulator |
| QS3244 | High-Speed CMOS QuickSwitch 8-Bit Bus Switch |
| RA4M2 | 100MHz Arm Cortex-M33 TrustZone, High Integration With Lowest Active Power Consumption |
| READ2302G | High Drivability & High Slew Rate, Input Output Full Range, CMOS Dual Operational Amplifier |
Sample & Buy
AI Kit Development Platform with RA6M3 MCUs
| Description: | AI Kit Development Platform with RA6M3 MCUs |
| HTS (US): | 8471.50.0150 |
| ECCN (US): | 3A991.a.2 |
| SPQ: | 1 |
| Pb (Lead) Free: | No |
| Temp. Range (°C): | -40 to +85°C |
| Assembly Location: | ROMANIA |
Add-on Hardware
ICM-42670-P 6-Axis Gyroscope and Accelerometer Pmod Daughter Card
Videos & Training
The overview and demo highlight Renesas’ AI‑driven arc‑fault detection approach, built on the AIK‑RA6M3 development platform with the RA6M3 MCU. The content shows how AI on hardware enhances AFCI development by providing greater design flexibility and ensuring reliable, high‑performance detection across Renesas MCUs. The demonstration also illustrates how this method supports robust protection and simplifies the path to implementing advanced AFCI capabilities in a wide range of applications.
Additional Videos
News & Blog Posts
Blog Post Mar 9, 2026 |
Blog Post Dec 8, 2025 |
Blog Post Jul 17, 2024 |
Blog Post Mar 13, 2024 |
Resources
Support
Knowledge Base
- RA Family: What is the difference between Voice Kit and this AI Kit?
Renesas is focusing on three AI/ML technology pillars: Realtime Analytics(sensing), Voice, and Vision. Both kits are released to cover those pillars. Voice Kit: Voice AI Kit: Realtime Analytics and Vision
Mar 12, 2024 - RA Family: How to manually import BSP into E2 studio?
In E2 studio, Go to Help --> CMSIS Pack Management --> Renesas RA --> and add the package provided.
Mar 12, 2024 - RA Family: How sustainable this kits are?
We do prioritize and contribute towards sustainability & green. Here are some examples. Embedded MCU: RA4E1 is optimized mixture of high performance with 100 MHz Cortex-M33 Core in combination with lowest active power consumption. RA6M3 is built on a highly efficient 40nm process. Kit: Supports smart low power mode ...
Mar 12, 2024
Support Communities
