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> by setting up complicated infrastructure on your own (either in house or in the cloud) or by using a cloud/third party distributed computing option. The argu
by delfinom 6y ago
> by setting up complicated infrastructure on your own (either in house or in the cloud) or by using a cloud/third party distributed computing option.
The argument is/would be, if your business is heavily based upon deep learning and is that compute heavy on a hourly basis, you may in fact save millions daily by having your own in-house infrastructure.
It seriously isn't complicated to run as much as AWS and co want to say it is to push their own sales. But it does cost capital investment and maybe 1 or 2 IT guys.
There's an inflection point where it makes sense.
- zests 6y agoWhat do you expect the salary is for an IT guy that knows how to set up and maintain distributed machine learning infrastructure on prem?
- bsenftner 6y agoDon't fool yourself, it is not hard.
- manigandham 6y agoNot that much. It's really no different than setting up other servers. You can also rent services instead of maintaining a FT position. IT has been commoditized, it's not a special domain of expensive and rare experts anymore.