I Freed Up 700GB+ Converting my Videos Using Tdarr

I Freed Up 700GB+ Converting my Videos Using Tdarr

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I Freed Up 700GB+ Converting my Videos Using Tdarr
Tdarr is a distributed transcoding system that runs on on Windows, Mac, Linux, Arm, Docker, and even Unraid. It uses a server with one or more nodes to transcode videos into any format you like. Today, we'll set up the Docker and Windows version of Tdarr using a GPU to regain up to 50% of your disk space back. I converted my video collection using Tdarr to h265 and saved over 700 GB of disk space. Video Notes: https://technotim.live/posts/tadarr-server/ A HUGE THANKS to our sponsor, Micro Center! New Customers Exclusive – Get a Free 256gb SSD at Micro Center: https://micro.center/a643c4 Browse Micro Center’s 30,000 products: https://micro.center/acfa46 Support me on Patreon: https://www.patreon.com/technotim Sponsor me on GitHub: https://github.com/sponsors/timothystewart6 Subscribe on Twitch: https://www.twitch.tv/technotim Become a YouTube member: https://www.youtube.com/channel/UCOk-gHyjcWZNj3Br4oxwh0A/join Merch Shop 🛍️: https://l.technotim.live/shop Gear Recommendations: https://l.technotim.live/gear Get Help in Our Discord Community: https://l.technotim.live/discord 2nd channel: https://www.youtube.com/@TechnoTimTalks (Affiliate links may be included in this description. I may receive a small commission at no cost to you.) 00:00 - What is Tdarr 01:38 - Preparing my system 02:32 - Advertisement 03:16 - Installing NVIDIA Drivers 03:59 - Installing Tdarr with Docker and Portainer 05:13 - Tdarr Configuration 07:31 - GPU Transcoding with Tdarr 08:56 - Adding a Windows Node 09:36 - Adding my RTX 3090 10:39 - The Outcome 11:10 - Stream Highlight - "Our Discord Voice Chat in the most interesting podcast ever" #Tdarr #MediaServer #HomeLab "I Can Do Better" is from Harris Heller's album "Lights" "Gift of a Guest" is from Harris Heller's album "Lights" https://l.technotim.live/sb-music-license "Big Buck Bunny" appears in this video for codec comparison. (c) copyright 2008, Blender Foundation Thank you for watching!