Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.

Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster. I discussed how PagedAttention cracked the code on LLM memory chaos ...

To strive for continuous flow or not? While certain processes achieve immediate gains from the pursuit of continuous flow, many experience the burdens of the pursuit outweighing the gains, if there ...