Media Center's Workload - CPU Cores vs. Threads - Printable Version +- Jellyfin Forum (https://forum.jellyfin.org) +-- Forum: Off Topic (https://forum.jellyfin.org/f-off-topic) +--- Forum: General Discussion (https://forum.jellyfin.org/f-general-discussion) +--- Thread: Media Center's Workload - CPU Cores vs. Threads (/t-media-center-s-workload-cpu-cores-vs-threads) |
Media Center's Workload - CPU Cores vs. Threads - Owner - 2023-10-26 https://www.namehero.com/blog/cpu-cores-vs-threads-everything-you-need-to-know/ CPU Cores are Boys. Threads are the superior beings known as Girls. Girls can Multitask Boys Cant! Lets take two simple Desktop PC's A AMD Ryzen 9 5900x 12 Cores, 23 Threads B AMD Ryzen Pro 7000 WX 96 Cores, 182 Threads Which is best to Run Jellyfin? RE: Media Center's Workload - CPU Cores vs. Threads - Deleted User - 2023-10-26 GPU matters more than CPU so what you are comparing is equal in terms of transcoding it's hard to explain in terms someone can understand i tried out 3 analogies in response but they do not seem to cover it so recommend researching the difference on your own RE: Media Center's Workload - CPU Cores vs. Threads - Deleted User - 2023-10-26 here this seems to cover it - https://aws.amazon.com/compare/the-difference-between-gpus-cpus Quote:Example of the differences RE: Media Center's Workload - CPU Cores vs. Threads - Owner - 2023-10-26 thanks i forgot about GPU / CPU. Retail shop assistants only ask is it for Gaming or Office type work, they usually don't know much about most of the PC's on display. You can't install jellyfin on their display machines and try it out. so its if you know someone that has a model and is happy with the way Jellyfin runs on it. RE: Media Center's Workload - CPU Cores vs. Threads - Deleted User - 2023-10-26 if that's the question, whether or not a current user is happy with their hardware i have a cheap(ish) mini pc that does everything i need 1-3 concurrent streams without hiccup, files are cloud hosted BluRay and 4K BluRay 1:1 Remux Intel® Core i7-9700T CoffeeLake-S GT2 [UHD Graphics 630] Host OS is Debian, Guest is Ubuntu JF Docker (linuxserver.io), everything including transcodes goes to a samsung 980 2TB NVME (the bus speed of the system cannot fully utilize the NVME speed so tops out around 4Gbps) it is setup where cloud is internet based, minipc is local LAN so performance is based on the local internet and LAN speeds - getting the files to the LAN then transcode to the LAN client |