If OBS Studio refuses to record on a recent Ubuntu (24.04, 24.10, 25.04, 25.10) with this dialog:
An encoder error occurred while recording: Couldn't initialize muxer
…and the OBS log (~/.config/obs-studio/logs/) shows:
[ffmpeg muxer: 'simple_file_output'] os_process_pipe_write for info structure failed
| # Fix Electron App Sandbox Crashes on Linux | |
| Electron apps on Linux often fail to launch with errors like: | |
| - `signal=TRAP` | |
| - Sandbox-related crashes | |
| - Apps that work with `--no-sandbox` but fail otherwise | |
| ## The Problem | |
| Electron's sandbox requires either: |
Managing conda environments for AI/ML workloads on AMD GPUs can quickly consume 100GB+ of disk space. The PyTorch ROCm stack alone is ~18GB, and each new environment duplicates this.
Creating environments independently:
# BAD: Each env duplicates the full PyTorch ROCm stack (~18GB each)
conda create -n project1 python=3.12
| [af9dac22-676b-48fc-9cea-45ef1d877efe] | |
| Description=IP Cam Viewer | |
| fullscreen=true | |
| fullscreenrule=2 | |
| ignoregeometry=true | |
| ignoregeometryrule=2 | |
| noborder=true | |
| noborderrule=2 | |
| position=5760,480 | |
| positionrule=2 |
When building multiple AI/ML Docker images that all need PyTorch with ROCm (AMD GPU) support, naive approaches can waste tens of gigabytes of disk space. This guide shows how Docker's layer sharing works and how to verify your images are efficiently layered.
Running docker images shows seemingly massive duplication:
REPOSITORY TAG SIZE
When using ComfyUI with an AMD GPU and PyTorch ROCm, installing custom nodes via ComfyUI-Manager (or manually via pip) can silently replace your ROCm-enabled PyTorch with the default CUDA version.
This happens because:
torch as a dependency in their requirements.txt
When using Easy Effects installed via apt on Ubuntu, the Deep Noise Remover effect shows:
Deep Noise Remover Not Available The software required for the Deep Noise Remover effect, "DeepFilterNet", is not installed.