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I haven't run the numbers on game consoles or PCs, but in my day job of machine learning it absolutely makes sense to buy expensive hardware. Even accounting fo
by dron57 4y ago
I haven't run the numbers on game consoles or PCs, but in my day job of machine learning it absolutely makes sense to buy expensive hardware. Even accounting for the costs of electricity, full time system administration and hardware depreciation.
AWS is making a killing on selling GPU time to startups that should put in the effort of getting their own on-prem compute. The market inefficiency here is that AWS knows that startups don't want to get distracted by system administration and they're squeezing it like hell.
- mrtranscendence 4y agoNot just startups, established companies as well. My employer (technically not itself large but a wholly owned subsidiary of a high-ranking Fortune 500 company) has been undergoing a long process of moving almost everything into the cloud and deprecating on-prem resources. The way they've done this was almost comically silly at first: letting every one of our scores of data scientists provision 32 or 64 node clusters all day, every day, without (initially) any thought or guidance given as to how to control costs. At some point they decided this was too expensive and switched cloud providers, even though the cloud provider wasn't the problem. Now I have people breathing down my neck every time I need a decent amount of compute for something ... it pains me to think of what kind of on-prem setup they could have stood up for the tens of millions (or more?) they've spent moving to "the cloud".
- highwaylights 4y agoRight... but this is a thread about a video game running on a video game service running in a web browser?