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2min chapter
GPU dev environments that just work
Practical AI: Machine Learning, Data Science, LLM
Introduction
There's a lot of optimizations around the GPU spend, so the way that it's being backed up for the volume. So you're not paying for unused volumes even when your instance is off. There's auto stop making sure that your instances aren't costing you a lot when you're not using them. You can use brev scale, which lets you deallocate the GPUs or to get a more powerful instance if you need it. And there's the obvious benefit of not running a container locally if you're on a Mac that kind of like casually eats up like 20 gigs of RAM.
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