Show HN: I indexed 37h of my videos using an RTX 4090 and local ML models in 24h

A developer indexed 37 hours of video content using an NVIDIA RTX 4090 and local ML models in 24 hours, processing long podcast episodes, coding tutorials, and screen recordings. The RTX 4090 significantly outperformed the M1 Max, with the longest 3-hour livestream indexed in under 2 hours.

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