使用下方的 docker-compose 文件启动 Jellyfin 容器(Emby 容器同样适用) version:"3.8"services:# Jellyfin: https://hub.docker.com/r/nyanmisaka/jellyfinjellyfin:image:nyanmisaka/jellyfin:latestcontainer_name:jellyfinhostname:jellyfinrestart:alwaysenvironment:-TZ=Asia/Shanghai-NVIDIA_DRIVER_CAPABILITIES=all-NVI...
型号DS918 、jellyfin:latest ,之前直通intel 核显(P630)给黑群晖开启jellyfin硬解也是这套配置,可参考群晖7.2 docker-compose部署jellyfin(开启Intel核显硬解),这次使用vgpu来给jellyfin实现硬解,流畅度会有些许提升,稳定性也不错,推荐没有核显的用户使用。
然后,为systemd创建文件夹和文件,以便在启动nvidia vgpu服务时加载vgpu_unlock-rs库 mkdir /etc/systemd/system/{nvidia-vgpud.service.d,nvidia-vgpu-mgr.service.d} echo -e "[Service]\nEnvironment=LD_PRELOAD=/opt/vgpu_unlock-rs/target/release/libvgpu_unlock_rs.so" > /etc/systemd/system/nvidia-vgp...
另外,这里使用了 Jellyfin 自带的 FFmpeg,可以从https://github.com/jellyfin/jellyfin-ffmpeg/releases获得。实际上也可以使用其他的 FFmpeg,比如winget install Gyan.FFmpeg,不过这时需要在mapping中添加一行["libfdk_aac", "aac"]将 Jellyfin 默认指定的非自由 AAC 库改为 FFmpeg 内置库。 最后在 Jellyfin 中将硬...
Enter the GPU / vGPU renderD ID (e.g. for renderD129 you would enter129). 3. Install Docker and run virtual-dsm Start the LXC Container created above and login to its console via the Proxmox UI or SSH. Install Docker (e.g.Install Docker Engine on Debian) ...
【更新】免费开源影音服务Jellyfin部署,PVE下LXC套娃安装Debian Docker,核显硬解转码以N5105为例低功耗intel CPU核显通用 4.5万 23 46:57 App 2025最新!PVE8.3AIO保姆级教程,开启核显sriov,N卡Unlock_vGPU安装ikuai,openwrt,win10,飞牛nas,HA智能家居 2.0万 82 13:33 App PVE安装飞牛NAS直通核显远程挂载群晖...
群晖Docker版Jellyfin+TMM刮削器,打造你的家庭影音中心,完美硬解,新手Jellyfin安装教程 15.1万播放 拆解IPTV玩法,能回看的电视直播源要这样搞,稳得一批! 3.4万播放 PVE8.0保姆级安装教程ikuai+op+群晖nas+docker+unlockvgpu+win10云游戏+私人流媒体教程(01) 7.5万播放 核显直通、网卡直通:软路由、电脑、电视盒子、...
None Host VGPU Mode : N/A IBMNPU Relaxed Ordering Mode : N/A PCI Bus : 0x17 Device : 0x00 Domain : 0x0000 Device Id : 0x1B0210DE Bus Id : 00000000:17:00.0 Sub System Id : 0x11DF10DE GPU Link Info PCIe Generation Max : 3 Current : 1 Link Width Max : 16x Current : 8x ...
1. Issue or feature description receive error NVIDIA-SMI couldn't find libnvidia-ml.so library in your system when running nvidia-smi within cointainer. i'm sure the driver is installed correctly as i get the correct output from nvidia-s...