Highlighting Support for the PyTorch Ecosystem - Intel® Chip Chat episode 609

Intel Chip Chat

Dr. Jason Knight joins Chip Chat to talk about Intel support for PyTorch*. As Head of Software Product for the Artificial Intelligence Products Group at Intel, Dr. Knight guides the development of software to enable the best use of hardware in Intel's heterogeneous product portfolio for AI. In this interview, Dr. Knight discusses the benefits of the PyTorch framework, broader community adoption of PyTorch, and highlights Intel investments in the PyTorch ecosystem such as direct optimizations through Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN), the Neural Network Distiller PyTorch algorithm testing environment, and PyTorch support in nGraph Compiler. For more from Dr. Knight, follow him on Twitter at https://twitter.com/binarybana. For more on Intel solutions for AI, please visit https://ai.intel.com. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries. *Other names and brands may be claimed as the property of others.