February 2026 monthly summary for volcengine/verl: Delivered a Qwen3-8B SAPO training script on Ascend NPU with FSDP and vLLM backends, enabling scalable distributed training on dedicated hardware. The work is captured in commit 9917f76aecef0628880126708b53e19aef752211 and includes usage guidance and testing patterns. Validated end-to-end SAPO training flow on the dapo dataset per the PR, establishing a concrete, production-ready training pathway. No major bugs fixed this month; main focus was feature delivery, documentation, and setting up resilient training pipelines. This work enhances model training throughput, aligns with enterprise hardware strategies, and demonstrates cross-cutting skills in distributed training, hardware specialization, and Python tooling.