FairScale

Fit More and Train Faster With ZeRO via DeepSpeed and FairScale

This Hugging Face blog post from January 2021 covers integration of ZeRO (Zero Redundancy Optimizer) memory optimization techniques via DeepSpeed and FairScale into the Transformers training ecosystem. ZeRO partitions optimizer states, gradients, and model parameters across GPUs to enable training of much larger models on the same hardware. The post serves as a practical guide for practitioners looking to scale model training without additional infrastructure investment.