"*The synergy between the large datasets in the cloud and the numerous computers that power it has enabled remarkable advancements in machine learning, especially in DNNs. […] That changed in 2013 when a projection in which Google users searched by voice for three minutes per day using speech recognition DNNs would double Google datacenters’ computation demands.*"

This presentation will introduce the concepts behind the hardware architectures used to support current growth in machine learning, including GPUs and TPUs.

Mots clés : deep learning hardware