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Overview

Description

The RA8P1 group features Renesas’s first 32-bit AI-accelerated microcontrollers (MCUs) powered by the high-performance Arm® Cortex®-M85 (CM85) with Helium™ MVE and Ethos™-U55 NPU. It delivers 256GOPS* of AI performance, a breakthrough CPU performance of over 7300 CoreMarks and advanced artificial intelligence (AI) capabilities enabling voice, vision, and real-time analytics AI applications on a single chip. The RA8P1 MCUs built on the advanced 22nm ULL process are available in single and dual-core options with a Cortex-M33 core embedded on the dual-core MCUs.

The RA8P1 MCUs integrate high-performance CPU cores with large memory, multiple external memory interfaces, and a rich peripheral set optimized for AI applications. Single and dual-core devices in 224 and 289 BGA packages are available, to address diverse use cases across broad markets. Secure Element-like functionality is built-in with advanced cryptographic security IP, immutable storage, and tamper protection, to deliver truly secure Edge AI and IoT applications.

To streamline and accelerate development, the RA8P1 MCUs are supported by the Flexible Software Package, a comprehensive set of hardware and software development tools, and RUHMI - a highly optimized AI software platform providing all necessary tools for AI development, model optimization, and conversion, fully integrated with e2 studio.

*Giga Operations Per Second

Features

  • 1GHz Arm Cortex-M85 and 250MHz Cortex-M33 cores
  • Ethos-U55 NPU, 256GOPS at 500MHz
  • 0.5/1MB MRAM, 4/8MB Flash options
  • 2MB SRAM including TCM and 64KB caches
  • Parallel and MIPI-CSI2 camera interface (I/F) for vision AI
  • I2S and PDM I/F for voice AI
  • GLCDC w/ parallel RGB and MIPI-DSI I/Fs
  • 2D drawing engine
  • xSPI compliant octal SPI with XIP & DOTF
  • Renesas Security IP, TrustZone, tamper protection
  • Secure boot with immutable storage for first stage bootloader
  • 32/16-bit high-resolution timers, 32-bit ultra-low-power timer
  • 16-bit ADC, 12-bit DAC, HS comparators
  • Gigabit Ethernet, TSN switch, USB 2.0 HS/FS, CAN FD
  • SDHI, SPI, I3C, I2C serial interfaces
  • 32/16-bit external memory I/F (CS/SDRAM)

Comparison

Applications

Documentation

Design & Development

Software & Tools

Software Downloads

Type Title Date
Software & Tools - Software Log in to Download ZIP 38 KB
Software & Tools - Software Log in to Download ZIP 71 KB
Software & Tools - Software Log in to Download ZIP 38 KB
3 items

Sample Code

Sample Code

Filters
Type Title Date Date
Sample Code ZIP 14.68 MB
Sample Code Log in to Download ZIP 49.54 MB
Sample Code Log in to Download ZIP 3.75 MB
Sample Code Log in to Download ZIP 23.17 MB
Sample Code Log in to Download ZIP 3.78 MB
Sample Code Log in to Download ZIP 3.69 MB
Sample Code Log in to Download ZIP 3.34 MB
7 items

Boards & Kits

Models

ECAD Models

Schematic symbols, PCB footprints, and 3D CAD models from SamacSys can be found by clicking on the CAD Model links in the Product Options table. If a symbol or model isn't available, it can be requested directly from SamacSys.

Diagram of ECAD Models

Product Options

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Support

Support Communities

Support Communities

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Support Communities

  1. Unable to debug / program RA8P1 in e2 studio on Linux

    Hi, I just recently got my hands on the new EK-RA8p1 development board and have been unsuccessful in debugging / programming it on the latest version of e2 studio and fsp version 6.0. I'm able to program other RA series microcontrollers (RA8M1, RA6E2) using the same ide ...

    Jul 15, 2025
  2. EK-RA8P1 SIP IS25WX064-JWLE

    HI From the RA8P1 datasheet i found that, RA8P1 contains an internal OSPIO flash memory. In one of my project, I would like to use this ospi internal flash and external flash, but i couldn't able to find sample code for interfacing on chip SIP flash(IS25WX064-JWLE). My ...

    Aug 5, 2025
  3. EK-RA8P1 Baby Crying Demo – Unexpected LED behavior and no UART debug output

    ... the debug serial console (115200-8-N-1).- No baby-cry detection or idle indication seems to be working. ### [Environment]- Board: EK-RA8P1- Toolchain: e2studio + FSP- Firmware: Baby Crying Detection (downloaded from renesas.com)- Programming method: J-Link with `jlink_ra8p1_prog.bat` ### [Questions ...

    Jul 15, 2025
View All Results from Support Communities (7)

FAQs

  1. How do I convert models for use with Ethos-U55 on RA8P1, using RUHMI?

    When using Ethos-U55 on RA8P1, the model optimization and conversion process is carried out in several steps using the RUHMI Framework tool. Model Import: First, the user imports models from TensorFlow or ONNX format into the RUHM tool. RUHMI then converts these models into Intermediate Representation (IR) for further ...

    Jul 1, 2025
  2. RA8P1: What are the advantages of MRAM compared to Flash?

    MRAM and Flash are both examples of non-volatile memory typically embedded in MCUs. Embedded MRAM offers several advantages over Flash such as - Faster write speeds with no erase needed Higher endurance and retention Byte addressable Lower power Lower cost

    Jul 1, 2025
  3. How can I profile NPU inference performance and memory usage on RA8P1?

    Arm Ethos-U55 includes a dedicated Performance Monitoring Unit (PMU) that enables evaluation of internal NPU operations. This allows developers to monitor various performance metrics such as bus access patterns and inference execution time. To perform performance profiling, developers can implement PMU control software, using the Ethos-U Core Software ...

    Jul 1, 2025
View All Results from FAQs (22)

Videos & Training

Discover the AI-Accelerated RA8P1 microcontroller, powered by the Arm® Cortex®-M85 and Ethos-U55 NPU, designed for energy-efficient AI applications in vision, voice, and real-time analytics. This high-performance microcontroller enables users to build advanced AI solutions with ease.

Learn about its key features and how the RUHMI Framework simplifies AI application development by allowing seamless deployment of neural network models in a framework-agnostic way. Watch now to explore how the RA8P1 MCU can transform your AI projects.

Related Resources