Hacker News new | ask | show | jobs
by sbrother 2186 days ago
In my niche at least (ML, data engineering) one of the main reasons to go with a Linux laptop instead of MacOS is so that you can run GPU accelerated ML workloads (i.e. CUDA) in development without shipping all your data to the cloud. I've been a happy System76 customer for years and I think this use case is fairly common for them -- they even ship a fantastic "out of the box" TensorFlow/CUDA setup (https://support.system76.com/articles/install-tensorflow/) that has saved me days of dev time over my career so far. It's totally reliant on NVIDIA's products of course, but unlike AMD, Nvidia has heavily invested into the deep learning community so there's not really an alternative.
1 comments

Yes this is a fair point and understood. I am not a user of ML so it’s irrelevant to me, so I’ll just hold out for hope eventually. I’d probably be okay with an AMD APU, but I have no idea what the Coreboot status is (has AMD made good on their promises?)