Infineon advances Edge AI computing on PSOC™ Edge MCU with NVIDIA® TAO toolkit integration
Infineon Technologies announces support for NVIDIA® TAO models on the PSOC™ Edge MCU family. The combination of a high-performance MCU with NPU hardware acceleration and an advanced AI fine-tuning workflows will enable developers to accelerate the deployment of AI models in low-power MCUs.
Microcontrollers (MCU) are at the heart of modern electronics, and integrating the latest AI development and deployment workflows at the edge poses a major challenge for developers.
Infineon’s PSOC™ Edge MCU family features Arm® Cortex®-M55 processors and Ethos-U55 microNPU and enhances energy-efficient machine learning capabilities at the edge. The combination of these versatile microcontrollers with the powerful NVIDIA TAO models and fine-tuning toolkit greatly simplifies the creation, customization, optimization, and deployment of high accuracy vision AI models.
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“NVIDIA is a key player in the AI/ML space, so we and our lead customers engaged in vision, audio and voice applications are very excited about this effort,” said Steve Tateosian, Senior Vice President IoT Compute & Wireless at Infineon. “By integrating NVIDIA TAO in our PSOC™ Edge MCU portfolio, we empower developers to create smarter and more efficient systems that work at the edge of the network and solve real-world challenges with speed and precision. This significantly speeds up time-to-market for ML enabled applications in industrial automation, medical, automotive, and smart IoT solutions.”
“NVIDIA TAO brings the latest advances in computer vision models and fine-tuning workflows to the far edge”, said Deepu Talla, Vice President of Robotics and Edge Computing at NVIDIA. “Infineon PSOC™ Edge’s integration of NVIDIA TAO greatly simplifies the development and deployment of customized AI across a range of devices.”
The integration of NVIDIA TAO features will become available for the entire PSOC™ Edge MCU family along with a comprehensive development ecosystem, including tools, libraries, and documentation, to accelerate innovation and reduce time-to-market for AI-enabled applications.
Infineon delivers full system solutions for Edge AI. Bringing intelligence to the edge allows for new and advanced IoT use-cases as it improves system determinism, privacy and security while also reducing latency, system power as well as cost for AI-enabled solutions.
For further details please visit: www.infineon.com/PSOCEdge