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

Published: Oct. 11, 2018, 6:17 p.m.

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\xae Math Kernel Library for Deep Neural Networks (Intel\xae 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.\n\nIntel technologies\u2019 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.\n\nIntel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.\n\n*Other names and brands may be claimed as the property of others.