Distributed Training Lexicon launches: 50 HPC terms with Manim visualizations
TheZachMueller · x · 2026-08-22
Zach Mueller, Head of DevRel at Lambda, published the "Distributed Training Lexicon" — 50 common distributed-training terms with Manim-made visualizations as a quick reference.
It covers the three core parallelism strategies:
- Data parallelism: replicate the model per GPU, partition data, average gradients via all-reduce; automated by PyTorch DDP, with gradient accumulation/compression to cut communication costs.
- Model parallelism: split an over-sized model across devices by layers, trading careful graph partitioning and heavy inter-device communication.
- Pipeline parallelism: interleave micro-batches across stages (e.g., 1F1B schedules), with efficiency hinging on micro-batch count and balanced stage loads to shrink bubble time.
More concept animations are promised over the next three weeks, tied to his September HPC training course.
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