Parallelism
Pipeline parallelism divides consecutive model layers into stages placed on different devices. Microbatches move through those stages so multiple inputs can occupy the pipeline.
Layer partitioning can fit a model across combined device memory with less within-layer communication. Empty pipeline slots, uneven stages, and activation transfers reduce utilization.
Operators partition layers by memory and compute, then choose a microbatch schedule. They measure stage balance, communication time, and bubbles under representative request shapes.
Pipeline parallelism divides consecutive model layers into stages placed on different devices. Microbatches move through those stages so multiple inputs can occupy the pipeline. Operators partition layers by memory and compute, then choose a microbatch schedule. They measure stage balance, communication time, and bubbles under representative request shapes.
Layer partitioning can fit a model across combined device memory with less within-layer communication. Empty pipeline slots, uneven stages, and activation transfers reduce utilization.
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