I am surprised it's that low
As far as large-scale machine learning workflows are concerned, there's no doubt in my mind that the cloud is the future.https://twitter.com/benedictevans/status/1356745155605389312 …
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It's all just gonna be Algorithms As A Service (
#nocode) style anyway, with REST apis interconnecting things. Basically you send your data and chosen algorithm with POST json and a paid token, and it'll spit back the results.Thanks. Twitter will use this to make your timeline better. UndoUndo
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Train in the cloud, inference on the edge is a viable alternative for a lot of use cases though
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The future is here, it's just not evenly distributed.
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Based on what we have observed about corporation's attitudes toward democracy, I hope there will less move toward the cloud.
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security-wise: the clouds
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Lots of mainframes out there, and lots of ERP and payroll.
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The cloud is crazy expensive
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Totally,
@protienking. Although the cloud makes sense for some things, and it's a great place to start when you're first getting into AI research...but costs def skyrocket as you scale making on-prem worth looking at.
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