jellyfin: HW acceleration

DOCS

@@ -3,6 +3,7 @@ Additional documentation for my homelab setup
 Table of Contents
 
  1. DNS
+ 2. Jellyfin HW acceleration
 
  1. DNS
 
@@ -16,3 +17,16 @@ Both resolvers use 1.1.1.1 and 8.8.8.8 as upstream servers.
 
 Note: Apple TV seems to not care at all what I set as the resolver, so I need to
       have an internal address published on a public DNS server.
+
+
+
+ 2. Jellyfin HW acceleration
+
+The physical server has Intel integrated graphics. To make PCI passthrough work
+properly I had to enable it and Intel's vGT technology to make vGPUs out of the
+single chip. Here is a guide that had worked:
+
+https://cetteup.com/216/how-to-use-an-intel-vgpu-for-plexs-hardware-accelerated-streaming-in-a-proxmox-vm/
+
+Basically it is just enabling IOMMU, and the vGT feature in the i915 kernel
+driver. (IOMMU needs to be enabled in the BIOS as well)

scripts/jellyfin/docker-compose.yml.templ

@@ -2,7 +2,6 @@ version: '3.5'
 services:
   jellyfin:
     image: jellyfin/jellyfin
-    container_name: jellyfin
     ports:
       - 127.0.0.1:8096:8096
       - 7359:7359/udp
@@ -16,11 +15,7 @@ services:
     # Optional - alternative address used for autodiscovery
     environment:
       - JELLYFIN_PublishedServerUrl=https://film.$domain
-    # Optional - may be necessary for docker healthcheck to pass if running in host network mode
+    # Intel VGT HW acceleration
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
-    deploy:
-      resources:
-        reservations:
     devices:
-            - capabilities: [gpu]
+      - /dev/dri/renderD128:/dev/dri/renderD128
+      - /dev/dri/card0:/dev/dri/card0

scripts/jellyfin/script.sh

@@ -5,38 +5,21 @@ source "$HL_LIB"
 
 _assert_vars HL_DOMAIN;
 
-_ch_001-install_nvidia_drivers() {
+_ch_001-make_dirs() {
-    sudo apt-get install -y nvidia-driver-515-server
-    echo "_ch_001-install_nvidia_drivers" >> run.checkpoints
-    _err "installed nvidia drivers; please reboot"
-}
-
-_ch_002-install_nvidia_containers() {
-    distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
-      && curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg \
-      && curl -s -L https://nvidia.github.io/libnvidia-container/$distribution/libnvidia-container.list | \
-            sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
-            sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
-    sudo apt-get update
-    sudo apt-get install -y nvidia-docker2
-    sudo systemctl restart docker
-}
-
-_ch_003-make_dirs() {
     mkdir -p ~/jellyfin /data/jellyfin;
 }
 
-_ch_004-copy_compose() {
+_ch_002-copy_compose() {
     cp $(_fill docker-compose.yml.templ) ~/jellyfin/docker-compose.yml;
 }
 
-_ch_005-update_caddy() {
+_ch_003-update_caddy() {
     cp $(_fill Caddyfile.templ) /etc/caddy/conf.d/jellyfin.Caddyfile;
     chmod a+r /etc/caddy/conf.d/jellyfin.Caddyfile;
     sudo systemctl reload caddy.service;
 }
 
-_ch_006-run-service() {
+_ch_004-run-service() {
     cd ~/jellyfin;
     docker-compose up -d;
 }