Modern electronics are centered on microcontrollers (MCUs), and one of the biggest challenges for developers is integrating the newest AI development and deployment workflows at the edge. The deployment of AI models in low-power MCUs will be accelerated by developers thanks to the combination of a high-performance MCU with NPU hardware acceleration and sophisticated AI fine-tuning workflows: The PSOC Edge MCU family now supports NVIDIA TAO models, according to Infineon Technologies.
The PSOC Edge MCU series from Infineon improves energy-efficient machine learning capabilities at the edge with Arm® Cortex®-M55 processors and Ethos-U55 microNPU.
The development, customization, optimization, and implementation of high precision vision AI models are significantly streamlined by the integration of these adaptable microcontrollers with the potent NVIDIA TAO models and fine-tuning toolbox.
To speed up innovation and shorten time-to-market for AI-enabled applications, NVIDIA TAO technologies will be integrated into the PSOC Edge family as a whole, along with a full development ecosystem that includes tools, libraries, and documentation.
For Edge AI, Infineon provides complete system solutions. By improving system determinism, privacy, and security while lowering latency, system power, and cost for AI-enabled solutions, bringing intelligence to the edge opens up new and sophisticated IoT use cases.
Leadership Comments
“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 customized AI across a range of devices.”
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