### Comment:
That's nvidia marketing, but truth is gaming cards are just fine for machine learning at a much better price. The new 2000 series even includes tensor cores. Also you don't need more precision for ML. In fact its the opposite, you can get away with much lower precision than 32 bits. That's why FP16 performance is becoming important now for machine learning tasks.

### REPLY:
This. Nvidia gaming cards are killing it in ML and perform very good low precision. Other than that Google builds tensor processing units which are also great. So from the hardware side you have $NVDA, $GOOG, and Bitmain when they IPO. A lot of companies that do AI stuff are private though. 
  
 Google also owns DeepMind and their research team is probably one of the best. 
  
 Edit: Currently AMD Cards are not so great for ML

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