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yueguoguo 2017-05-20 21:11:46 +09:00
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@ -40,3 +40,5 @@ Detailed information for each of the machines is listed as follows.
|spark|Standard F16 - 16 cores and 32 GB memory|Linux|Standalone mode Spark for data preprocessing and feature engineering.|$0.796/hr|
|deeplearning|Standard NC6 - 6 cores, 56 GB memory, and Tesla K80 GPU|Windows|Train deep neural network model with GPU acceleration.|$0.9/hr|
|webserver|Standard D4 v2 - 8 cores and 28 GB memory|Linux|Deployed as a server where MRS service is published and run on.|$0.585/hr|
Data storage is used for temporarily preserving processed data, and it can also be seamlessly connected to DSVMs and administrated within R session by using AzureSMR package.