Pipeline Parallelism for Faster LLM Inference

Pipeline parallelism splits a model’s layers into sequential chunks, assigning each to separate devices to optimize large language model (LLM) inference. This approach improves throughput by overlapping computation and communication, reducing idle time across hardware. Below is a structured…