1/ I had a question about successfully handling high traffic on computationally expensive deep learning models (like DeOldify). I'm pretty new to this myself and therefore may be very wrong but I do have a take and I'm wondering what others think. Here's what I said:
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5/ "Again- deferring huge, expensive computation to the users, hence avoiding a lot of complication on our end. And we’d argue it’s better for the users."
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6/ "My hot take on “the cloud” approaches is that they tend to be the default approach to a fault and traditional desktop/local deployments tend to get overlooked even if they make the most sense."
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End of conversation
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