Worked on enhancing the reliability of GPU kernel initialization in cloud environments for the kvcache-ai/ktransformers repository. Addressed startup instability by increasing the prefill check timeout to 90 seconds, accommodating longer CUDA initialization and Python module loading times. This adjustment reduced kernel initialization failures and improved the overall startup experience in distributed cloud deployments. The solution involved aligning runtime detection logic with the new timeout and updating in-code documentation to clarify the rationale behind these changes. Leveraged expertise in Python, DevOps, and cloud computing to deliver a targeted bug fix that directly improved the robustness of cloud-based GPU workloads.