Infineon advances Edge AI computing with NVIDIA TAO toolkit
Summary
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: Infineon Technologies announces support for NVIDIA TAO models on the PSOC Edge MCU family. “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 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 customised AI across a range of devices.” The integration of NVIDIA TAO features will become available for the entire PSOC Edge family along with a comprehensive development ecosystem, including tools, libraries, and documentation, to accelerate innovation and reduce time-to-market for AI-enabled applications.
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