Infineon Accelerates Edge AI with NVIDIA TAO on PSOC™ Edge MCUs

Infineon Accelerates Edge AI with NVIDIA TAO on PSOC™ Edge MCUs

(IN BRIEF) Infineon Technologies AG has integrated NVIDIA TAO models into its PSOC Edge MCU family to accelerate the deployment of AI at the edge. This new integration, powered by Arm Cortex-M55 processors and the Ethos-U55 microNPU, simplifies the creation and customization of high-accuracy vision AI models for low-power applications, benefiting sectors like industrial automation, medical diagnostics, automotive, and smart IoT solutions. With this development, Infineon strengthens its full system solutions for Edge AI, reducing development time, power consumption, and latency while enhancing security and system efficiency.

(PRESS RELEASE) MUNICH, 12-Mar-2025 — /EuropaWire/ — Infineon Technologies AG has unveiled support for NVIDIA® TAO models on its PSOC™ Edge MCU family, marking a significant milestone in the deployment of artificial intelligence at the edge. By combining a high-performance microcontroller unit (MCU) with NPU hardware acceleration, the new integration streamlines the development of AI-powered applications on low-power devices. The PSOC Edge MCU series—powered by Arm® Cortex®-M55 processors and the Ethos-U55 microNPU—now incorporates NVIDIA’s advanced TAO models and fine-tuning toolkit, greatly simplifying the process of creating, customizing, optimizing, and deploying high-accuracy vision AI models in resource-constrained environments.

This breakthrough comes at a critical time as developers face increasing pressure to integrate sophisticated AI workflows into everyday electronics. With the latest offering from Infineon, designers can now achieve rapid, precise dosing of AI functionalities directly at the edge, significantly cutting development times and improving system efficiency. The solution is particularly beneficial for applications in industrial automation, medical diagnostics, automotive systems, and smart IoT solutions, where real-time data processing and low power consumption are paramount.

Steve Tateosian, Senior Vice President of IoT Compute & Wireless at Infineon, explained, “Integrating NVIDIA TAO into our PSOC Edge portfolio empowers our customers to build smarter and more efficient systems that operate seamlessly at the network edge. This collaboration accelerates time-to-market for machine learning applications by providing the tools needed to tackle real-world challenges with speed and precision.” Echoing this sentiment, Deepu Talla, Vice President of Robotics and Edge Computing at NVIDIA, noted, “The infusion of NVIDIA TAO into Infineon’s PSOC Edge range brings cutting-edge computer vision and fine-tuning capabilities to the far edge, greatly easing the process of deploying customized AI solutions across a wide array of devices.”

The new integration will be rolled out across the entire PSOC Edge MCU family, accompanied by a robust development ecosystem that includes specialized tools, libraries, and comprehensive documentation. This initiative not only enhances energy-efficient AI processing but also reinforces Infineon’s commitment to delivering full system solutions for Edge AI—ensuring improved system determinism, heightened security, and reduced latency and power consumption.

About Infineon

Infineon Technologies AG is a global semiconductor leader in power systems and IoT. Infineon drives decarbonization and digitalization with its products and solutions. The Company had around 58,060 employees worldwide (end of September 2024) and generated revenue of about €15 billion in the 2024 fiscal year (ending 30 September). Infineon is listed on the Frankfurt Stock Exchange (ticker symbol: IFX) and in the USA on the OTCQX International over-the-counter market (ticker symbol: IFNNY).

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SOURCE: Infineon