Early this year, IBM announced Deep Learning as a Service within Watson Studio. The core of this service is available as open source and can be run on Kubernetes clusters. This allows developers and data scientists to train models with confidential data on-premises, for example on the Kubernetes-based IBM Cloud Private. The open source version of IBM's Deep Learning service is called Fabric for Deep Learning. Fabric for Deep Learning supports framework independent training of Deep Learning models on distributed hardware. For the training, CPUs can be used as well as GPUs. Check out the documentation for a list of DL frameworks, versions, and processing units.


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