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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