GPU Analytics

Analytics > GPU Analytics

GPU Analytics

Overview

As the Graphics Processing Unit’s (GPU) capabilities increase is not only used to play games, but can also be used to produce in-depth analytics. GPU now could make faster processing of Image recognition, complex calculation and other sophisticated tasks that need hundreds until thousand parallel processing.

Objective

  • To analyze sophisticated formula or forecasting that need powerful and parallel processing
  • Used for real-time analytics with huge data need to be processed

Objective

  • To analyze sophisticated formula or forecasting that need powerful and parallel processing
  • Used for real-time analytics with huge data need to be processed

Benefits

  • Very fast analytics result, used for machine learning to training the pattern and to get more accurate results
  • Real-time analytics to track metrics in real-time and to monitor fraud detection
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