Login or Register

Recent searches

No recent searches

Search options

Only available when logged in.
Vivaldi Social is one of the many independent Mastodon servers you can use to participate in the fediverse.
Vivaldi Social is part of the Mastodon network and is hosted in Iceland by the makers of Vivaldi Browser. Everyone is welcome to join.

Administered by:

Server stats:

11K
active users

Vivaldi Social: AboutStatusProfiles directoryPrivacy policy

Mastodon: About · Keyboard shortcutsView source codev4.3.7+vivaldimod

#Intel

63 posts59 participants8 posts today
Public *
Mika

TIL #AMD has #GPU (s) that have no hardware encoding capabilities whatsoever, i.e. their #RX6400. Yikes? Be careful when buying GPUs from AMD, I suppose.

It's one thing when people compare AMD GPUs with #NVIDIA's saying AMD's encoding prowess is inferior vs something like #NVENC, but to literally be unable to hardware transcode H264, HEVC, etc. as a modern GPU is insanely hilarious seeing that it's something even ancient GPUs and even iGPUs are capable of.

AMD CPUs? Solid, my last #Intel CPU was literally 7th gen - have gone through at least ~5 CPU upgrades since then. AMD GPUs? Stayed away from them and will continue to do so, even as a #Linux user. NVIDIA GPUs have been perfectly fine for me on #X11 before, and is perfectly usable (+ continually improving) on #Wayland now - Intel Arc GPUs are also affordable and perfect for my #homelab/servers.

🔗 https://github.com/GPUOpen-LibrariesAndSDKs/AMF/wiki/GPU-and-APU-HW-Features-and-Support#amd-gpu-multimedia-hardware-features

The Advanced Media Framework (AMF) SDK provides developers with optimal access to AMD devices for multimedia processing - GPUOpen-LibrariesAndSDKs/AMF
GitHubGPU and APU HW Features and SupportThe Advanced Media Framework (AMF) SDK provides developers with optimal access to AMD devices for multimedia processing - GPUOpen-LibrariesAndSDKs/AMF
Public *
Mika

Done this with the #AMD 5600G's iGPU, now testing #Jellyfin hardware transcoding with my #Intel #ArcA380 GPU - one question though, is it normal for CPU usage to be rather high at least in the early parts of streaming (while transcoding), even with hardware transcoding?

I'm just trying to figure out if it is actually hardware transcoding - I'm assuming it is, bcos on the admin dashboard I'm seeing that it's transcoding as AV1 and I'm sure my Ryzen 7 1700 would not be able to do/handle that, esp considering that I'm testing with 4 streams playing concurrently? but the CPU usage is rather high the first minute or two or more from when the stream starts, it does lower down afterwards - the video playback is perfectly fine, no stuttering or anything like that.

My method of passthrough is the same as I did with the 5600G, that is a simple passthrough to the #LXC container, then to the #Docker container running Jellyfin. I don't think I noticed this high CPU usage when testing the 5600G, and the only minor configuration difference between the two was I'd used #VAAPI with the 5600G and disabled #AV1 encoding (since idt it supports it), while on the Arc A380 GPU I'm using Intel's #QSV and have enabled AV1 encoding.

Am I correct to assume that hardware transcoding is indeed working? Cos again, I'm quite certain my Ryzen 7 1700 would definitely NOT be able to handle this lol esp since I only give the LXC container 2 cores.

Screenshot of a terminal window showing htop on the top half, and docker logs at the bottom. Htop shows high CPU usage running multiple ffmpeg processes.
Playback info message on Jellyfin admin dashboard of one of the 4 streaming sessions, saying that it's 'Transcoding', and that 'The media is being converted into a format that is compatible with the device that is playing the media.' The format its transcoding seems to be '420 Kbps MP4 AV1 AAC'. The reason it gave for transcoding says, 'The number of audio channels is not supported. The video's bitrate exceeds the limit'.
Public
AfterDawn

Apple: Kaikki Intel-pohjaiset Mac-tietokoneet ovat nyt virallisesti vanhentuneita

Vanhtentuneeksi (obsolete) luokittelu tarkoittaa sitä, että tuotteelle ei enää ole tarjolla virallisia huoltopalveluita eikä varaosien saatavuutta enää taata.

Viimeisenä Intel-Maccina vanhentuneeksi siirrettiin vuonna 2018 julkaistu Mac Mini.

dawn.fi/uutiset/2025/04/18/app

AfterDawn · Kaikki Intel-pohjaiset Macit ovat nyt vanhentuneitaBy Petteri Pyyny
#intel#apple#macmini
ExploreLive feeds
About