3 ms·
For YouTube's scale it makes sense, since a small saving or efficiency boost would accumulate at their scale.
by sidcool 6y ago
For YouTube's scale it makes sense, since a small saving or efficiency boost would accumulate at their scale.
- kevingadd 6y agoNot just cost reduction or efficiency, the faster encodes you can get through dedicated hardware mean they can potentially reduce the delay between a video being uploaded and a video being available to the public (right now even if you don't spend time waiting in the processing queue, it takes a bit for your videos to get encoded) You can handle larger volumes of incoming video by spinning up more encoder machines, but the only solution for lowering latency is faster encodes, and with the way the CPU and GPU markets are these days a dedicated encoder chip is probably your best bet.
- Dylan16807 6y agoYou can split a video up across cores or even across servers. Encoding speed does not need to have a significant impact on publishing latency.