Overview
Description
AI Navigator, which integrates the functionality required for edge AI development, can be used to shorten development time.
Please refer to the AI Navigator Quick Start Guide for the installation and basic usage.
[RA8] Quick Start Guide : in Chapter "Running RUHMI with AI Navigator" within Renesas RUHMI Framework Quick Start Guide
[RZ/V] Quick Start Guide : in RZ/V AI Web (GitHub)
Features
- Navigating through the simple development of AI applications
- Providing a variety of sample AI applications and sample AI models to shorten the periods for evaluating devices and developing applications
- Providing a transfer learning feature for the sample AI models to shorten the design processes and learning times for AI model
- Converting the AI models into executable files that are optimized for Renesas devices and making effective use of the hardware accelerator
- Learn More
Release Information
| Product Name | Latest Ver. | Released | Target Device (Note1) | Details of upgrade | Operating Environment |
|---|---|---|---|---|---|
| AI Navigator | V2.2.0 | Jun. 12, 2026 | RA Family RZ Family | See Release Note | e² studio plug-in Operating Environment |
Notes
- For details on supported MCUs and MPUs, refer to the section Target Devices.
Target Devices
Downloads
|
|
|
|
|---|---|---|
| Type | Title | Date |
| Upgrade - IDE | e² studio 2026-04.2 installer for Linux
|
|
| Upgrade - IDE | e² studio 2026-04.2 installer for Windows
|
|
| Upgrade - IDE | e² studio 2025-12 installer for Linux
|
|
3 items
|
||
Documentation
|
|
|
|
|---|---|---|
| Type | Title | Date |
| Release Note |
PDF
399 KB
日本語
AI Navigator is a set of plugins for e2 studio which is an integrated development environment (IDE) for Renesas devices.
AI Navigator makes it possible to integrate and operate the various functions required for AI embedded system development. This helps the development period shorter.
This document describes the contents of AI Navigator v2.2.0, such as changes from the previous version, restrictions and so on. Please read it before using this tool.
|
|
| Quick Start Guide |
PDF
2.59 MB
A practical guide to deploying AI models on Renesas RA MCUs using the RUHMI (Robust Unified Heterogeneous Model Integration) framework. It explains model quantization, compilation, and C/C++ code generation via AI Navigator GUI or CLI, supporting TensorFlow Lite, ONNX, and PyTorch/ExecuTorch with optional Arm Ethos‑U acceleration.
|
|
| Flyer | PDF 315 KB 日本語 , 简体中文 | |
| Tool News - Release |
PDF
214 KB
日本語
This is a Tool News announcing the revision of AI Navigator V2.1.0, IDE for AI Applications.
AI Navigator offers a comprehensive suite of functionalities, including AI model conversion, utilization of sample applications, and support for transfer learning.
The main revision upgrades are support for RA8 series devices, additional sample AI applications, automatic installation of the RUHMI framework, and compatibility with RZ/V AI TLT v6.00 have been implemented.
|
|
| Release Note |
PDF
477 KB
日本語
This document is the release note for AI Navigator v2.1.0.
AI Navigator is a suite of AI development support plugins for Renesas e² studio, an integrated development environment for Renesas products.
It supports RA8 and RZ/V series, providing various functions such as AI model conversion, sample application usage, and transfer learning.
In this version, support for RA8 series devices, additional sample AI applications, automatic installation of the RUHMI framework, and compatibility with RZ/V AI TLT v6.00 have been implemented.
|
|
| Tool News - Release | PDF 153 KB 日本語 | |
| Release Note | PDF 740 KB 日本語 | |
| Tool News - Note | PDF 153 KB 日本語 | |
| Tool News - Release | PDF 229 KB 日本語 | |
| Release Note | PDF 573 KB 日本語 | |
| Tool News - Release | PDF 148 KB 日本語 | |
| Release Note | PDF 519 KB 日本語 | |
| Tool News - Release | PDF 148 KB 日本語 | |
13 items
|
||
Design & Development
Related Boards & Kits
Evaluation Kit for RA8P1 MCU Group
The EK-RA8P1 evaluation kit is designed to enable users to easily evaluate the RA8P1 MCU features and develop embedded system applications using Renesas' Flexible Software Package (FSP) and e2 studio IDE. Users can utilize the rich onboard features and their choice of popular ecosystem add-ons... Read More
Evaluation Kit for RA8D1 MCU Group
The EK-RA8D1 evaluation kit enables users to effortlessly evaluate the features of the RA8D1 MCU Group and develop embedded systems applications using Renesas' Flexible Software Package (FSP) and e2 studio IDE. Utilize rich onboard features along with your choice of popular ecosystem add-ons to... Read More
AI Kit Development Platform with RA8D1
The AIK-RA8D1 provides developers with multiple and reconfigurable connectivity functions to expedite AI/ML system development. This easy-to-use hardware platform for multimodal AI/ML solutions is based on the RA8D1 MCU from the RA family of 32-bit MCUs.
The hardware platform is intended for use... Read More
RA8M1 Voice User Demonstration Kit
Easy-to-use hardware platform for Voice User Interface (VUI) solutions based on the RA8M1 MCU.
This VUI partner-enabled solution is based on the RA family of 32-bit MCUs. The hardware platform is used for all VUI partner-enabled solutions provided by Renesas within the Renesas Ready Partner... Read More
SMARC SOM Evaluation Kit for RZ/V2L MPU with AI Accelerator
The RZ/V2L Evaluation Board Kit consists of a module board (SOM) and a carrier board that can easily start evaluation of the RZ/V2L. It also includes the MIPI Camera Module (MIPI CSI). The carrier board can be commonly used with RZ/G2L, RZ/G2LC, RZ/G2UL, and RZ/V2L modules (SOM) prepared... Read More
Test This Board Remotely
RZ/V2H Quad-core Vision AI MPU Evaluation Kit
The RZ/V2H AI MPU evaluation kit (RTK0EF0168C04000BJ) is used to evaluate Renesas' RZ/V2H quad-core vision AI MPU. The kit includes a CPU board and an expansion (EXP) board. It supports RZ/V2H standard software packages and enables easy implementation of software development tasks such as low... Read More
Test This Board Remotely
RZ/V2N Quad-core Vision AI MPU Evaluation Kit
The RZ/V2N AI MPU Evaluation Kit V2.0 (RTK0EF0186C03001BJ) is used to evaluate our RZ/V2N quad-core vision AI MPU. The kit includes a CPU board and an expansion board (EXP board). V2.0 adds support for the DDR Suspend to RAM function, and the power supply circuit configuration has been changed... Read More
Videos & Training
AI Navigator simplifies the process of developing and running AI applications within the e2 Studio integrated development environment.
This video demonstrates how to install AI Navigator and import and run RZ/V AI applications.
Additional Details
Features
Navigating through the simple development of AI applications
AI Navigator provides navigation through the development of AI applications via a GUI and supports the implementation of AI applications to run on Renesas devices through the shortest steps.
This tool also provides guidance on downloading and installing toolchains for use in the development of AI applications. Accordingly, you can easily construct a development environment for AI applications by installing this plugin into e² studio.
Providing a variety of AI applications and AI models
You can import a variety of AI applications provided by Renesas from the application catalog available in the GUI of AI Navigator.
Use any of the evaluation boards listed below to quickly experience examples of embedded applications employing AI and see the performance of Renesas devices.
| Supported evaluation boards | EK-RA8D1, EK-RA8P1 |
|---|---|
| RZ/V2H Evaluation Board Kit, RZ/V2L Evaluation Board Kit, RZ/V2N Evaluation Board Kit |
Shortening the periods for developing applications
The AI application also contain converted AI models which are executable on the target devices, so you can easily try AI applications on an evaluation board.
The executable AI models have been released as open source. Accordingly, you can use them with your own applications and thus shorten the periods for the development of AI models.
Providing a transfer learning feature for the AI models
In combination with the transfer learning tool, AI Navigator provides a transfer learning feature for AI models in the AI applications with the use of desired datasets.
| AI transfer learning tool | Supported Devices | Related web page |
|---|---|---|
| RZ/V AI TLT | RZ/V2H, RZ/V2L, RZ/V2N | How to Re-train AI model (GitHub) |
Shortening the design processes and learning times for AI models
You can tune the AI models in the AI applications which have already been designed and learned to suit your purposes, thus shortening the design processes and learning times for AI models.
Converting the AI models into executable files that are optimized for Renesas devices
In combination with the AI model conversion tools provided by Renesas, a desired AI model can be converted into an executable format that takes advantage of the hardware accelerator on the target device.
The AI models converted into executable files that are optimized for Renesas devices achieve more lightweight model sizes and faster performance on inference.
| AI Model Conversion Tool | Supported Devices |
|---|---|
| RUHMI Framework | RA8 Series RZ/V2H, RZ/V2L, RZ/V2N |
Support
Support Communities
