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Then it's unfortunate Apple decided to integrate AMD and Intel cards into MacBook Pro's instead of Nvidia. Many ML researchers probably use MBP's but can't leve

Then it's unfortunate Apple decided to integrate AMD and Intel cards into MacBook Pro's instead of Nvidia. Many ML researchers probably use MBP's but can't leverage acceleration.

ma2rten 10y ago
You wouldn't wanna run long-running models that take days to train on your laptop anyway.
- CoolGuySteve 10y ago
  No but you would want to develop them on a truncated set of the data without being tethered to the internet. It's a reasonable use case.
boxcardavin 10y ago
Eh, it's not really that consequential because anything big will need way more horsepower than you're gonna get on any mobile GPU to be able to done in a reasonable amount of time. We built a CLI tool for our stuff on AWS and our gaming/ML desktop at the office specifically because everyone is on laptops and training or evals are so slow.
cstejerean 10y ago
It really is. I stopped playing around with CUDA precisely because Apple dropped Nvidia GPUs. Granted to anything serious you want something other than a laptop but it's still nice for quick prototyping (I'm referring to CUDA in general not just using it for ML).