Infineon adds Nvidia TAO AI support to PSCoC Edge microcontroller
Infineon Technologies has added support to enable Nvidia TAO AI vision models to run on its PSOC Edge microcontroller.
PSoC Edge couples an ARM Cortex-M55 core with an Ethos-U55 neural processor unit to provide AI at the edge, However for the low power operation, this needs fine tuning of the machine learning models. This can be achieved with the TAO models and fine-tuning toolkit to simplify the creation, customization, optimization, and deployment of high accuracy vision AI models.
The integration, shown at the Embedded World exhibition in Nuremberg this week will become available for the entire PSOC Edge family along with a comprehensive development ecosystem, including tools, libraries, and documentation.
- PSoC Edge brings RRAM to edge AI
- Next generation PSoC Edge microcontrollers for edge AI
- Edge AI platform integrates Nvidia TAO
- NXP taps Nvidia TAO for edge AI
“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 TAO greatly simplifies the development and deployment of customized AI across a range of devices.”
If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :
