The cloudml package provides an R interface to Google Cloud Machine Learning Engine, a managed service that enables:
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Scalable training of models built with the keras, tfestimators, and tensorflow R packages.
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On-demand access to training on GPUs, including the new Tesla P100 GPUs from NVIDIA®.
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Hyperparameter tuning to optimize key attributes of model architectures in order to maximize predictive accuracy.
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Deployment of trained models to the Google global prediction platform that can support thousands of users and TBs of data.
CloudML is a managed service where you pay only for the hardware resources that you use. Prices vary depending on configuration (e.g. CPU vs. GPU vs. multiple GPUs). See https://cloud.google.com/vertex-ai/pricing for additional details.
For documentation on using the R interface to CloudML see the package website at https://github.com/rstudio/cloudml