Tutorialdevice meshfsdpdata parallelism
Device Mesh Guides Parallelism Strategy Choices
8.1
Relevance ScoreOn August 30, 2025, the article outlines how device mesh abstractions in PyTorch and JAX organize GPUs into N-D tensors to govern communication and sharding for large-scale LLM training. It surveys parallelism strategies—data parallelism, FSDP, HSDP and hybrid combinations—showing typical mesh axis naming and how physical network topology influences mesh design. The piece explains practical implications for scaling, naming conventions, and communication hierarchies.
Why This Matters
Practical, industry-wide guidance on device-mesh mapping for large-scale training, with limited novelty beyond consolidating existing parallelism strategies.
