This article presents SGLang's new Pipeline Parallelism (PP) approach designed for large language models with ultra-long context windows. It combines techniques like Chunked Pipeline Parallelism and Dynamic Chunking to enhance throughput and reduce latency in multi-node deployments. The implementation shows significant performance improvements over traditional methods.