3 ms·
I think its more about the flexibility of having access to more resources than you can ever need. If you buy a 1080 then you are limited by its performance and
by aeleos 9y ago
I think its more about the flexibility of having access to more resources than you can ever need. If you buy a 1080 then you are limited by its performance and say you wanted to train to models at the same time, you are even more limited. Whereas with something like this you could train 10 models right when you need them trained, and you aren't stuck with 10 gpus that you bought so you could do that.
- Const-me 9y agoI understand the IaaS is way more flexible, e.g. in cases when you need lots of GPUs but not for long the cloud is a clear winner. However, IMO the price is just not OK. Compare with traditional servers. For $0.7/hour you can use e.g. c4.4xlarge amazon instance. The hardware is much more expensive than $550, just the RAM is already around $400. You won’t be able to purchase an equally-performing server for 1 month of that IaaS rent, I think it’ll be like 3-6 months (which is IMO reasonable).
- tw04 9y agoThat's because they can amortize the server over a longer time window than a GPU.
- candiodari 9y agoIf that's true, then why are they still running the K80s ?
- tw04 9y agoThey didn't add the K80s until February of 2017, did you really think they'd literally throw out hardware after less than 12 months? "Accelerated" means 18-36 month shelf life, not 10.