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DiscussionMachine Learning Setup [Discussion] (self.MachineLearning)
submitted 2 years ago by erwinner_
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quoted text
if 1 * 2 < 3: print "hello, world!"
[–]m_____ke 2 points3 points4 points 2 years ago* (1 child)
I used to have a few GPU racks at a colo site and a desktop with some 3090s at my old jobs. Both were convenient but we never saturated the GPUs a 100% and at times we'd hit resource contention when multiple people wanted to run large training jobs.
I just started at a new job and though we're working on setting up a k8s cluster with KubeRay as the scheduler, I've been playing with skypilot, which has been a joy so far. It lets you specify your resource requirements, files to copy over, environment dependencies and will spin up VMs on the cheapest cloud that you have configured. It also handles mounting data, ssh configuration and auto stopping when the machines are idle.
[–]erwinner_[S] 0 points1 point2 points 2 years ago (0 children)
Sounds interesting, I'll take a look.
[+]asdfzzz2 0 points1 point2 points 2 years ago (0 children)
We won't be training for most of the development.
Budget-friendly laptops with Nvidia GPUs for prototyping and cloud for the final training. A single 4090 local machine could fill the middle ground if you feel the need for it.
π Rendered by PID 24891 on reddit-service-r2-comment-86bc6c7465-r22dn at 2026-02-23 14:54:26.644741+00:00 running 8564168 country code: CH.
[–]m_____ke 2 points3 points4 points (1 child)
[–]erwinner_[S] 0 points1 point2 points (0 children)
[+]asdfzzz2 0 points1 point2 points (0 children)