Sometimes HPC Means Big Memory, Not Big Compute
Not every HPC or analytics workload – meaning an algorithmic solver and the data that it chews on – fits nicely in a 128 GB or 256 GB or even a 512 GB memory space, and sometimes the dataset is quite large and runs best with a larger memory space rather than carving it up into smaller pieces and distributing across nodes with the same amount of raw compute.