# Show HN: I indexed 37h of my videos using an RTX 4090 and local ML models in 24h > Source: > Published: 2026-06-30 11:28:04+00:00 TLDR: Following my recent blog post and Hacker News post ([https://news.ycombinator.com/item?id=48528029](https://news.ycombinator.com/item?id=48528029)). where I ran the desktop app on my M1 Max. This time, I’m using the self-hosted version, running in Docker, with an NVIDIA RTX 4090 (24 GB of VRAM). The content is also fundamentally more demanding: long podcast episodes with at least two faces in every frame, coding tutorials packed with on-screen text, and screen recordings. GoPro footage is mostly wide outdoor shots. But NVIDIA was much faster than my M1 Max. The longest video was a livestream of 3h 12m indexed in 1h 52m (4,612 frames analyzed). You can directly see the processing jobs results in JSON format here: [https://gist.github.com/IliasHad/fd64e4d331e90e57d61e95f64e8...](https://gist.github.com/IliasHad/fd64e4d331e90e57d61e95f64e8bf97a) Comments URL: [https://news.ycombinator.com/item?id=48731129](https://news.ycombinator.com/item?id=48731129) Points: 1 # Comments: 1