I have been repeatedly running into computational bottlenecks training machine learning models over the last few months. Almost all popular ML libraries offer GPU support, which can speed up model training by orders of magnitude. I was debating asking for a new personal machine with a powerful GPU, but I think it makes the most sense to install a new GPU on one of the stat machines. Its far cheaper, and we can all share the resource. I talked to Andrew and he thinks it's relatively easy to install. The current blocker is to get funding. The current top of the line Nvidia GPU is $1200.
The request has been reviewed by @Nuria and myself, is approved on my end and can be covered on Research budget.
@mark: any concern/additional questions from your team?