DEV Community

Discussion on: What's your local dev setup for deep learning with PyTorch?

Collapse
 
polmonroig profile image
Pol Monroig Company • Edited

I really prefer pytorch over tensorflow

  • I have Arch, it makes it super easy to install packages ( especially nvidia)
  • NVIDIA gtx 970 , but it only has 4gb of ram, so depending on the task I use CPU...
  • Used conda before ( when only a specific python version was supported by TF), now I use pip, I like it more
  • Yes, buy and SSD, It makes loading data extremely fast. I have nvme, but sata should work a lot too!
  • Another thing, sometimes I like using AWS, but only when have tested the training locally
Collapse
 
marcusturewicz profile image
Marcus Turewicz

Thanks for sharing!

Arch has always seemed very mysterious to me, but I will definitely give it a go!

I have found conda to be quite bloated and cumbersome, especially on Windows. Pip is very straightforward.

Collapse
 
polmonroig profile image
Pol Monroig Company

Yes, pip is very simple compared to conda. I thought the same about Arch, but the installation was super easy thanks to the documentation it has. I used fedora before, but it always caused me problems when installing nvidia, it was a pain. Moreover I love the fact that Arch has a rolling release.