Earlier quoted context omitted.
Nope. We have no information of the OPs setup, bill, or anything. This entire thread is based on assumptions. I common examples of developers screwing up and generating large bills. Explain to me how machine learning is any different. Do we know if the instances used for MLing are running 24/7 idle until customers use them? Do we know if the utilisation is optimal for the workloads? We know nothing. So claiming that…
> So claiming that cloud providers are not good The statement is not that AWS is "not good". The statement is that AWS is very expensive, specially for computational tasks, and there are cheaper alternatives around. AWS is notorious for positioning their services as a way to convert capex into opex, specially if your scenario involves a SaaS that might experience unexpected growth and must be globally available. Trai…
As I said I have examples of how Developers often cause large bills.
And I explained why we can’t help with the OPs large bill.
You’re saying that with ML there is absolutely 0 way to reduce costs on AWS which is absolute rubbish.