Interactive Guide: How to Parallelize a Transformer for Training
ezyang · x · 2026-08-18
Published an interactive explainer on parallelizing Transformer training, adapted from a Google DeepMind classic. Users can dynamically adjust model parameters (e.g., LLaMA-3 70B, DeepSeek-V3), hardware specs (TPU v5p, H100, GB200), and parallelism strategies (DP, FSDP, TP, PP, EP) to visualize compute efficiency and communication bottlenecks in real-time.
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