Comparing GPUs and their performance with reference to a various tasks

An important topic raised by many of our visitors and customers is which GPU to choose for certain types of tasks? Which video cards would be appropriate for the specific requirements in regard to the actual task?

Choosing the right GPU can be a tricky decision to make. In this guide, we will provide a comprehensive overview of the GPUs available for modern high-performance tasks, which will help you to figure out which choice is the best one for your current needs. 

Nvidia® Tesla® P100

Advantages:

• Provides high performance
  
• Suitable for both single and double precision calculations
  
• Applicable for a variety of scientific fields (financial calculations, CFD modeling, data analysis, climate and weather forecasting, etc.)
  

Disadvantages:

• High price
  

Nvidia® Tesla® V100

Advantages:

• 640 Tensor Cores
• Provides high performance
  
• Suitable for both single and double precision calculations
  
• Applicable for a variety of scientific fields (financial calculations, CFD modeling, data analysis, climate and weather forecasting, etc.)

Disadvantages:

• High price

What would be a better choice for a machine learning: Tesla® P100 or Tesla® V100?

If you require a large amount of memory for machine learning, then you can use the Tesla® P100 or V100.

As the benchmarks show, Tesla® V100 can deliver 3x the performance of P100 on both DL inference and training.