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Fixed overheads are never meaningless. O(n^2) algorithm that processes your data in 5s is faster on your data than O(log n) that takes 20 hours.

Long term storage of billions of images is meaningless, if it takes billions of years to archive these images.



It’s a one time cost rather than per image. You need the 4GB model only once and then you can uncompress unlimited images.


Yes, but each image needs access to this 4GB (actually, I have no idea how much RAM it takes up), plus whatever the working set size is. It is a non-trivial overhead that really limits throughput of your system, so you can process less images in parallel, so compressing billion of images in reasonable time suddenly may cost much more than the amount of storage it would save, compared to other methods.




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