DigiKey at embedded world 2025 with Texas Instruments
At embedded world 2025, on the DigiKey booth, Caitlin Gittins speaks with Artem Aginskiy, General Manager, General Microprocessors, Texas Instruments about TI’s product portfolio and how it's thinking about scalability and reusability.
As industries demand more flexible and long-term solutions for embedded processing, TI has been focusing on developing a range of microprocessors and microcontrollers that enable developers to scale designs efficiently across different applications while maintaining performance, power efficiency, and cost-effectiveness.
TI’s portfolio is designed to cater to both entry-level and high-performance applications, offering seamless scalability within product families. By maintaining a consistent architecture across its microprocessors (MPUs) and microcontrollers (MCUs), TI allows developers to start with lower-power, cost-sensitive designs and transition to more powerful solutions as application requirements evolve – without the need for significant redesigns. This approach reduces development time, streamlines software compatibility, and extends product lifecycle support, making it particularly beneficial for industrial automation, automotive, and IoT applications.
One of the key areas of discussion was TI’s focus on reusability, which is crucial for companies looking to optimise development costs and resources. TI is committed to providing common software frameworks, reusable driver libraries, and unified development tools that work across multiple product lines. With the use of TI’s Processor Software Development Kit (SDK), engineers can develop applications that are easily portable between different TI processors, ensuring minimal code refactoring when upgrading hardware. This flexibility is especially valuable in embedded applications where product roadmaps need to account for long-term scalability and component availability.
TI’s latest microprocessors also incorporate advanced security features, real-time processing capabilities, and AI acceleration to support the next generation of Edge computing applications. TI’s customers are increasingly looking for devices that can handle AI inference at the Edge, manage complex sensor data, and operate with real-time constraints. By offering a mix of power-efficient MCUs and high-performance MPUs, TI provides solutions that meet a broad spectrum of computing needs while ensuring a consistent design experience.
