Ignite the Next Generation of Deep Learning

Published: 01/06/2021  

Last Updated: 01/06/2021


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Penporn Koanantakool
Senior software engineer, Google*

AG Ramesh
Principal engineer, Intel

Increased processing power, massive amounts of data, and the development of more advanced algorithms have brought deep learning to the forefront, and TensorFlow* has emerged as one of the world’s most popular machine learning frameworks. Penporn Koanantakool, Google senior software engineer, and Ramesh, Intel principal engineer, share how their teams are collaborating to optimize TensorFlow for the latest Intel® technologies using Intel® oneAPI Deep Neural Network Library (oneDNN). The result: remarkable performance gains that will benefit applications spanning natural language processing, image and object recognition, autonomous vehicles, fraud detection, medical diagnosis and treatment, and much more. Intel-optimized TensorFlow is now made available through Intel® oneAPI AI Analytics Toolkit and is being used within Google Cloud Platform* and a Google Health project.

To learn more:

Intel® oneAPI Deep Neural Network Library

Intel® oneAPI AI Analytics Toolkit

Accelerate DeepVariant with Intel® Advanced Vector Extensions 512 (Intel® AVX-512)

Accelerate TensorFlow* Inference with Intel® Deep Learning Boost on 2nd Gen Intel® Xeon® Scalable Processors

Accelerate AI Performance on 3rd Generation Intel® Xeon® Scalable Processors with TensorFlow and Bfloat16

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Product and Performance Information


Performance varies by use, configuration and other factors. Learn more at www.Intel.com/PerformanceIndex.