EINDHOVEN - NXP Semiconductors N.V. (NASDAQ: NASDAQ:NXPI) has announced a collaboration with NVIDIA (NASDAQ:NVDA) to integrate NVIDIA's trained artificial intelligence (AI) models into NXP's edge processing devices. This integration is facilitated by NXP's eIQ machine learning development environment, which now includes NVIDIA's TAO Toolkit APIs, marking NXP as the first semiconductor vendor to offer such a direct integration for AI model deployment at the edge.
The partnership aims to accelerate AI development, offering developers a streamlined process for bringing AI models to market. By incorporating the NVIDIA TAO Toolkit into the eIQ machine learning development environment, developers can leverage pre-trained AI models and customize them through transfer learning. The eIQ environment simplifies the deployment process with a suite of software, inference engines, neural network compilers, and optimized libraries.
Charles Dachs, Senior Vice President and General Manager, Industrial and IoT Edge at NXP, highlighted the synergy created by combining NVIDIA's expertise in AI model training and testing with NXP's experience in industrial and IoT edge innovation. Deepu Talla, Vice President of Robotics and Edge Computing at NVIDIA, also emphasized the simplification of AI model creation and deployment that this collaboration brings.
The eIQ software development environment supports AI algorithms on a wide range of NXP's microcontrollers and microprocessors and is integrated into NXP's MCUXpresso SDK and Yocto Project Linux development environments. The addition of NVIDIA TAO APIs to eIQ promises a unified platform for model training, optimization, and deployment.
NVIDIA TAO offers an API-driven workflow with a collection of pre-trained models, enabling users to build custom AI models with optimizations that improve inference throughput.
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