Month: 2026-03 – Concise monthly summary of key features delivered, bugs fixed, impact, and technical skills demonstrated across the sgLang forks (yhyang201/sglang and ping1jing2/sglang). Focus on business value and technical achievements: prioritized distributed training improvements on Ascend hardware, stability of NPU backends, and efficient cache transfers to improve overall throughput and reliability.

February 2026 monthly summary focused on accelerating Ascend NPU capabilities and improving model reliability across sgLang repositories. Key outcomes include consolidated NPU documentation, deployment guidance for Qwen3.5 models on Ascend NPU, and targeted bug fixes that reduce deployment risk and boost performance.

January 2026 – kvcache-ai/sglang: Focused delivery around Ascend NPU documentation. Key outcomes include consolidated documentation enhancements for Ascend NPU (new features, models, configuration options, best practices, and performance guidance) and a critical documentation link redirection bug fix, improving accessibility across models. The work demonstrates strong documentation discipline, cross-model consistency, and impact on user enablement and support efficiency.

Monthly summary for December 2025 for repository kvcache-ai/sglang. Delivered notable features and reliability improvements across attention processing, data-parallel decoding, and Ascend NPU integration. The work focused on performance, scalability, and developer experience, aligned with business goals of faster inference, fairer parallelism, and broader hardware support.