Memory, storage, and GPUs are so expensive in part because hyperscale GPU clusters are only 87% usable. The remaining 13% are kept as powered-on hot spares that sit idle.
Could you imagine #HPC doing this? […]
[Original post on mast.hpc.social]
I am a supercomputing enthusiast, but I usually don't know what I'm talking about. I post about large-scale infrastructure for #HPC and #AI. 🌉 bridged from mast.hpc.social/@glennklockwood on the fediverse by fed.brid.gy