This topic describes the billing rules for each module in Machine Learning Studio.
One compute hour is equivalent to the usage of one CPU core and 4 GB of memory in one hour.
Number of compute hours = Max (Number of CPU cores × Usage duration, Memory size × Usage duration/4)
Number of compute hours = Max (2 × 1, 5 × 1/4) = 2
Bill amount= Number of compute hours × Unit price
|Module||Description||Price (USD/compute hour)||Region|
|Data processing||Includes components such as data preprocessing and feature engineering.||0.16||
|Data analysis||Includes components such as statistical analysis, machine learning, time series, and financials.||0.21|
|Text analysis||The algorithm for text analysis.||0.27|
|Deep learning (M40)||Includes deep learning frameworks such as TensorFlow, Caffe, and MXNet.||1.308||China (Shanghai)|
|Deep learning (P100)||1.872||China (Beijing)|
For more information about billing examples, see Billing examples of Machine Learning Studio.