The cloudml package provides an R interface to Google Cloud Machine Learning Engine, a managed service that enables:
Scalable training of models built with the keras, tfestimators, and tensorflow R packages.
On-demand access to training on GPUs, including the new Tesla P100 GPUs from NVIDIA<U+00AE>.
Hyperparameter tuning to optimize key attributes of model architectures in order to maximize predictive accuracy.
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/ml-engine/pricing for additional details.
For documentation on using the R interface to CloudML see the package website at https://tensorflow.rstudio.com/tools/cloudml/