Hi everyone, I’m running into a bit of a technical wall and was hoping some of the more experienced members here might have some insight. Lately, I’ve been working on a project that involves automating some heavy rendering tasks and general video editing workflows through Python scripts within my conda environment.
The issue I’m seeing is that whenever I trigger a sequence that requires high-bitrate exports, my CPU spikes to 100% and the entire anaconda navigator becomes unresponsive, eventually leading to a kernel crash. I initially thought it was a memory leak in one of my libraries, but even after cleaning up the environment and updating my packages, the stability isn’t there.
Does anyone here have experience with optimizing conda environments for media-heavy applications? I’m also curious if this might be a conflict between the GPU drivers and how the environment manages hardware acceleration during the rendering process. If you’ve dealt with similar bottlenecking or stability issues when integrating third-party tools into your pipeline, I’d love to hear how you managed the resource allocation or if there are specific environment configurations you’d recommend to keep things running smoothly. Thanks!