Kuaishou Tech
Nov 21, 2024 · Artificial Intelligence
Best Practices for Training Large Language Models on Ultra‑Large Scale Clusters
This article summarizes the challenges of distributed training for massive language models and presents a suite of solutions—including DP/TP/PP overlap, context parallelism, efficient recomputation, and a performance‑aware cost model—that together boost training throughput by over 30% on large GPU clusters.
GPU clustersactivation rematerializationdistributed training
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