DL Boost

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Intel's Deep Learning Boost (DL Boost) is a marketing name for instruction set architecture (ISA) features on the x86-64 designed to improve performance on deep learning tasks such as training and inference.[1]


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.[2]


  1. ^ "Intel Deep Learning Boost" Product Overview [1], p. 3
  2. ^ Samantha Gurriero, "Machine Learning Optimisation: What is the Best Hardware on GCP?", Datatonic, [2]

External links[edit]

  • Deep Learning Boost at Intel
  • Andres Rodrigues et al., "Lower Numerical Precision Deep Learning Inference and Training", Intel White paper [3]
  • Intel and ML (2017), from Intel's Developer Relations Division