Pipeline Parallelism in Large-Scale AI Model Training
Training large-scale neural networks often exceeds the computational and memory capacity of a single device, neecssitating distributed training strategies. Among these, model parallelism (MP) plays a crucial role by partitioning the model itself across multiple devices. Within MP, pipeline parallelism (PP) stands out as an effective technique t ...
Posted on Thu, 11 Jun 2026 16:37:39 +0000 by smonkcaptain