3 ms·

This is interesting but I'm not sure if the economics of it will ever work out. It'll only be practical when the computation costs become lower than storage cos

• baliex 7y ago
  Think of network bandwidth too!
• The_Colonel 7y ago
  Think youtube or netflix - it's compressed once and then delivered hundred million times to consumers.
  • ackbar03 7y ago
    but if its something that's requested / viewed a lot thats probably something don't want to be compressing/decompressing all the time. Neural networks still take quite a lot of computational power and require GPUs. If its something you don't necessarily require all the time its still probably cheaper to just store it instead of run it through a ANN. You just need to look at the prices of a GPU server compared with storage costs on AWS and the estimated run time to see there is still a large difference. I mean I could be wrong (and I'd love to be since I looked at a lot of SR stuff before) but that's sort of the conclusion I reached before and I don't really see anything has significantly changed since
    • The_Colonel 7y ago
      > but if its something that's requested / viewed a lot thats probably something don't want to be compressing/decompressing all the time. You're compressing only once. Decompression is usually way less expensive and that happens on the client, so without additional cost to netflix/youtube. Of course this does not mean youtube must use it on all the videos including the ones with 10 views.
• MiroF 7y ago
  > computation costs become lower than storage costs Most applications are memory movement constrained rather than compute constrained.