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Architects' Tech Alliance
Architects' Tech Alliance
Apr 6, 2024 · Artificial Intelligence

How ByteDance Scaled LLM Training to Over 10,000 GPUs: Inside the MegaScale System

The article analyzes ByteDance and Peking University's MegaScale system that enables efficient, stable training of large language models on clusters exceeding ten thousand GPUs, detailing algorithmic tweaks, 3D parallel communication overlap, operator optimizations, data‑pipeline improvements, network tuning, and fault‑tolerance mechanisms that together achieve a 55.2% MFU on a 175B model.

Distributed SystemsGPU clustersLLM training
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How ByteDance Scaled LLM Training to Over 10,000 GPUs: Inside the MegaScale System