March 2026 monthly summary for ping1jing2/sglang: Delivered CUDA IPC Caching for Multimodal Data Transfer, introducing a caching mechanism for IPC pool handles to optimize CUDA IPC data transfer across multimodal data paths. This change reduces transfer latency and improves data handling performance in GPU-enabled pipelines. The work is captured in commit d2440dcf584e73b54d100a84698d58c0f37cfe39, aligned with the [VLM] perf improvement effort (#21418). There were no major bugs fixed this month; the caching layer was added with careful validation to preserve stability. Impact: faster end-to-end multimodal data flows, improved resource utilization, and a more scalable data transfer path. Technologies used include CUDA IPC, IPC handle caching, and performance optimization techniques; this demonstrates strong capabilities in GPU-accelerated data processing and performance-driven development.