⚡HardFine-Tuning & TrainingPREMIUM

Distributed Training: FSDP & ZeRO

Master FSDP and DeepSpeed ZeRO strategies for training LLMs. Compare memory efficiency, communication overhead, and 3D parallelism techniques.

What you'll master

ZeRO stages (1, 2, 3) memory savings

FSDP sharding strategies (FULL_SHARD vs SHARD_GRAD_OP)

Data vs tensor vs pipeline parallelism

Communication overhead analysis (All-gather vs Reduce-scatter)

3D parallelism for large models

Gradient accumulation

Mixed precision training

Memory bottlenecks (Optimizer states vs Gradients vs Weights)

Hard30 min readIncludes code examples, architecture diagrams, and expert-level follow-up questions.

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Code examplesArchitecture diagramsModel answersScoring rubricCommon pitfallsFollow-up Q&A

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