{
  "id": 7853200,
  "title": "How to use libvmaf_cuda on Windows: an easy-to-follow guide (WSL2 + Docker + NVIDIA)",
  "url": "https://urgent.news/2026/09/16/how-to-use-libvmaf-cuda-on-windows-an-easy-to-follow-guide-wsl2",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-16T19:21:17.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/rtagl/-how-to-use-libvmafcuda-on-windows-an-easy-to-follow-guide-wsl2-docker-nvidia-59mc"
  },
  "original_language": "en",
  "account": null,
  "summary": "TL;DR: Running GPU-accelerated VMAF on Windows is surprisingly painful. After spending hours fighting broken builds and undocumented errors, the only reliable path I found is WSL2 + Docker Desktop + NVIDIA Container Toolkit + a CUDA-enabled FFmpeg . This guide walks you through the whole setup using the easyVmaf project, so you can skip the trial-and-error I went through. This guide uses easyVmaf…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}