LP-MSPM33C321A

MSP-AUTO-SDK package contains MCAL and CDD modules as per AUTOSAR architecture along with pre-build SDL library and MCAL+SDL integrated example to showcase their compatibility. These software modules are developed specific for platform hardware to enable the direct access to on-chip MCU peripherals. Thus, making the upper layer of AUTOSAR architecture independent of MCU platform hardware. These drivers are developed as per AUTOSAR version 4.3.1(except lin slave). The delivery contains source code of all drivers, EB Tresos plugin to generate configuration data, User Guide, bare-metal examples of each driver and Test Report.

The MSPM33 SDK delivers components that enable engineers to develop applications on Texas Instruments MSPM33 microcontroller devices. The product is comprised of multiple software components and examples of how to use these components together. In addition, examples are provided to demonstrate the use of each functional area and each supported device and as a starting point for your own projects.

The MSPM33 SDK includes support for FreeRTOS and a wide variety of middleware and drivers, including:

• Support for MSPM33C321A microcontrollers
• DriverLib with optimized footprint and performance
• Security features including peripheral protection, debug unlock, and secure boot via Boot Image Manager
• PSA Crypto and MSP Crypto Library support, including AES, SHA, RSA, ECDSA, and post-quantum ML-KEM (Kyber)
• EEPROM emulation library
• IQMath for fixed point math
• LIN drivers and a HAL abstraction layer for I2C, SPI, and UART
• TI Cybershield Toolkit for secure key provisioning, firmware signing, and device lifecycle management
• and more...

The MSPM33 MCU portfolio offers a single development environment that delivers flexible hardware, software and tool options for customers developing applications. A one-time investment with the MSPM33 software development kit (SDK) allows you create portable and modular code, opening the door to create unlimited applications.

Thank you for your interest in the MSPM33 Zephyr Software Development Kit (SDK). The MSPM33 Zephyr SDK provides a unified, comprehensive software platform designed to simplify development and accelerate time to market across TI’s embedded processor portfolio. The SDK brings together everything developers need to get started, including:

• Zephyr RTOS Support: Integrated Zephyr source code with support for the MSPM33 family of devices.
• Drivers & Samples: A comprehensive collection of device drivers, standard samples, and extended TI-specific examples.
• Demos & Reference Designs: Ready-to-use demo applications showcasing key device capabilities and reference implementations to accelerate product development.
• Development & Debug Tools: Integrated support for programming, flashing, and debugging MSPM33 devices.

While the specific SDK content may vary depending on individual device capabilities, all TI Zephyr SDK releases follow a consistent structure and development experience across TI’s broad embedded processor portfolio.

CCStudio™ for VS Code adds TI's embedded development tools to Visual Studio Code™. It uses CMake and Ninja for builds, GDB and OpenOCD for debugging, and includes a unified Projects view to manage projects. It also comes with AI tooling that gives coding agents TI-specific context and tools to configure, build, and debug projects on supported hardware.

CCStudio™ Edge AI Toolkit Extension is a VS Code extension for CCStudio™ IDE and VS Code®. It detects, installs, and updates the environment needed for TI Edge AI (TinyML) workflows: a local Python interpreter, the TinyML ModelZoo training and compilation toolchain, and the TinyML AI Skills that teach your AI coding agent the workflow.

Once installed and configured, it will provide Edge AI Agentic workflow capabilities inside CCStudio IDE or CCStudio for VS Code, including dataset management, model training and optimization, and importing trained models into your CCStudio projects, for compiling, loading, running live inference, and debugging on device. The included agent skills system provides your AI agent with knowledge of all the features and settings needed for Edge AI development on TI devices, so it can answer specific questions, offer model or device recommendations, or guide you through an entire development workflow. Try it out, and start prompting it with the Edge AI application you want to build!

Edge AI Studio is part of the CCStudio™ development tool ecosystem. Edge AI Studio is a collection of graphical and command line tools designed to accelerate edge AI development on TI processors, microcontrollers, connectivity devices and radar sensors. It supports both AI-accelerated devices such as processors featuring a C7™ NPU or microcontrollers featuring a TinyEngine™ as well as AI-supported devices without a dedicated accelerator.

The Edge AI Studio graphical user interface provides a fully integrated solution for data management, model training and deployment on a live development platform. Select from a variety of optimized pre-trained models in the TI Model Zoo and optionally re-train them with custom data (BYOD) to improve accuracy and performance.

Features

• TI Model Zoo containing a wide variety of optimized models
• Supports tasks and models across Time Series, Vision, and Radar
• Supports devices across processors, microcontrollers, connectivity devices and radar sensors
• Data collection
• Data annotation
• Model training with custom data (BYOD)
• Deploy to a live device
• Integration with CCStudio™ IDE