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Betting on local instead of cloud is always an interesting gamble. Pros: - Security - Control Cons: - Resource limitations - (...)
by pboutros 10y ago
Betting on local instead of cloud is always an interesting gamble.
Pros:
- Security
- Control
Cons:
- Resource limitations
- (...)
- taneq 10y agoPro: Reliability/longevity (your product still works even six months later when the cloud API provider has been acqui-hired.)
- skykooler 10y agoLocal is also useful in situations with limited or no internet access. Say you're trying to do deep recognition on a live video feed: many places this would be useful simply do not have the bandwidth available to stream video.
- teddyknox 10y agoAlso useful in latency-sensitive applications, such as the drone flight demo they use in their video.
- mattnewton 10y agoIt looks like this is for running already-trained networks, and I think that's really the only practical way to do things right now if you want to make sense of something like video in real time because of bandwidth constraints. It looks like training would happen in 'the cloud' or similar.