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by spicyramen
2396 days ago
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Let us remember that AI is at the center of the cloud wars. Google, Amazon and Microsoft while they produce ton of research, their sales teams need to market those R&D investment to get customers interested in their tech. We are at a stage that AI is still a buzz word for many companies, once we evolve and deploy more and more of AI cases, we will see less and less articles promising things that can't be implemented |
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I don't know if GCE is better, but the temptation to overload the hardware is always there: hardware rental is fundamentally a business with low barriers to entry. Anyone can buy some machines, bring up a Kubernetes or OpenShift cluster and start renting it out. So the big 3 are always looking for proprietary advantage and dedicated AI chips are something other firms can't easily do at the moment, making it a good source of lockin.
Do many people need it though? Deep learning is pretty useless for most business apps, unless you happen to need an image classifier or something else pre-canned. Classical ML is often sufficient, or better, human written logic. The latter can be explained, debugged, rapidly improved and in the best case requires no training data at all!