Model Parallelism Strategies for Large-Scale Models
How to combine data, tensor, and pipeline parallelism for 100B+ models Place work where the wires are thick: topology-aware GPU and TPU placement Shrink the memory problem: ZeRO, sharding, and activation checkpointing What you actually trade when you scale: performance and cost guidelines A practic…
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- 2026-09-23 02:02 · DEV Community — Machine Learning
Model Parallelism Strategies for Large-Scale Models