Distributed Training & Inference: From CPUs and GPUs to a Cluster
You can run a small model on a laptop, train a larger one on a GPU server, and spread an enormous one across a cluster. The difficult step is understanding what changes between those setups. Adding GPUs gives you more arithmetic capacity and more memory, but your program must decide how to use both…
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- 2026-09-29 19:36 · DEV Community — Machine Learning
Distributed Training & Inference: From CPUs and GPUs to a Cluster