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As a ML beginner, seeing this new offerings, does a local setup(2x nvidia 2080 8gb) make sense or it's better to learn using the cloud and let hardware get even
by alfonsodev 6y ago
As a ML beginner, seeing this new offerings, does a local setup(2x nvidia 2080 8gb) make sense or it's better to learn using the cloud and let hardware get even cheaper.
The cloud it's a bit scary from learners perspective because it's not exactly clear how much power one would need to practice the core concepts and see actual results.
In the other hand a pc build, it's an upfront investment, less scary because it's a fix cost, but also feels risky in case things progress quickly and hardware gets outdate soon.
- dna_polymerase 6y agoIf you have those GPUs already use them. If you are looking into buying them, check out Paperspace or Colab first. Think about the fact, that you will probably not use your own cards the whole time and with Paperspace you only pay for your usage (and some fixed amount for disk usage I think) and Colab is even cheaper in that regard.
- boulos 6y agoDisclosure: I work on Google Cloud. Honestly, I’d start with Colab until you decide you need “dedicated hardware”. It’s better to focus on learning before you decide “Okay, I’m serious about this now”.
- txcwpalpha 6y agoI would completely avoid things like this A2 instance (and other accelerated instances on other cloud providers) if you’re a self-described beginner. The GPU-accelerated instances in public clouds are terrifyingly expensive and way overkill for any kind of beginner/practice work. Only approach these types of instances once you actually have a handle on how much power you need.