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Joined 1 year ago
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Cake day: June 15th, 2023

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  • Using the igpu might be problematic for transcoding if you need that. I’d recommend older intel / Asus NUCs if you want a mini PC. 3 year warranty, built for Enterprise, tall version has room for a 7mm tall sata SSD or HDD along with nvme m.2 SSD.

    I think if you do Asus 12gen + they have another m.2 slot though it is the smaller one 2242. Doing all this you can upgrade it to 64GB RAM, 8TB m.2 2280, 8TB SATA SSSD, and 1TB M.2 2242. In homelab especially with mini PCs the limit is usually RAM / storage rather than CPU.

    I got 4 11th gen with 64 GB RAM each and 32TB of SSD storage. I recommend avoiding QLC SSD as much as possible. Aim for TLC , MLC, or SLC. Higher storage capacity tends to be QLC or TLC, QLC has shortest endurance and slowest speeds.











  • I looked into the github repo for the open source version and found the images used. It looks like it uses the open source synapse app, so it suppprts whatever the synapse server supports. Unfortunately the operator wouldn’t fully support the new matrix 2.0 sliding sync / OIDC auth currently and since its the same synapse server it doesn’t support high availability which partially ruins the point of k8s.

    That being said it does seem to have some support for workers, but it seems to be a WIP and that definitely could save some time setting up workers since it can get quite complex. They have a basis for making secific worker types where you simply specify the type and it would theoretically start the worker and have it properly work with your proxy.