AI in Multiple GPUs: ZeRO & FSDP

The article explores the Zero Redundancy Optimizer (ZeRO), a cutting-edge optimization technique designed to efficiently scale large models across multiple GPUs by minimizing memory redundancy. It provides a detailed explanation of ZeRO's underlying mechanics, guidance on implementing it from scratch, and instructions for integrating it within PyTorch, highlighting its significance for enabling large-scale distributed training.