
DL Boost

Intel's Deep Learning Boost (DL Boost) is a marketing name for instruction set architecture features on the x86-64 designed to improve performance on deep learning tasks such as training and inference.
DL Boost consists of two sets of features:
DL Boost features were introduced in the Cascade Lake architecture.
A TensorFlow-based benchmark run on the Google Cloud Platform Compute Engine shows improved performance and reduced cost compared to previous CPUs and to GPUs, especially for small batch sizes.