What is DeepSpeed?

DeepSpeed provides memory and compute optimizations — partitioned optimizer states, offloading, efficient parallelism strategies — that reduce the hardware required to train models at scale. It is infrastructure for organizations training their own models, and largely irrelevant to those consuming them, which is the majority. The distinction is worth drawing because vendors sometimes present training-stack capability as though it were governance capability, and the two solve entirely different problems. Centralpoint operates on the consumption side: the model is a service selected per request, and the platform's work is determining what that service may read, under whose entitlement, with what instructions loaded and what evidence retained. A more efficiently trained model is a better commodity input to that arrangement rather than a change to it.