• 1 Post
  • 12 Comments
Joined 1 year ago
cake
Cake day: June 11th, 2023

help-circle


  • Ok then. I’ll echo what some others are saying about 16GB being sufficient. If you were in engineering every now and then it’s not enough but I don’t think its the case for comp sci. I’d leave the door open and get one in which you can upgrade the RAM though.

    One thing to look out for is CPU performance. I find the laptop CPU market is a disaster right now in which you really don’t know what you’ll get. LTT has a recent video on the topic. For most courses it won’t actually matter that much. Some examples of the ones where it could make a difference are numerical linear algebra courses, machine learning (classical, not neural networks), and computer vision (again, classical). In some of these extra RAM might also be helpful but I’d prioritize a better CPU over the RAM. You may look at CPU benchmarks to get an idea of their performance.

    In terms of GPU… I don’t think you’ll get anything capable enough for training neural networks at this price point, which is the only thing you may need it for in comp sci. But it’ll help with light gaming (but I imagine integrated graphics is good enough for minecraft these days—but dont quote me on that).

    Also lastly, I would still recommend finding something with decent Linux support even if you dont want to use it (yet), you may choose to install it down the line. My Dell XPS/Precision has pretty poor linux support with buggy trackpad issues which has caused issues for me in the past. Many comp sci students end up switching to Linux/dual booting for a good reason.