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Add documentation for VA-API on Kubernetes for Linux
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@ -251,6 +251,56 @@ services:
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- /dev/dri/card0:/dev/dri/card0
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```
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### VA-API hardware acceleration on Kubernetes (Linux)
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These instructions follow the same principles as for the Docker (see the section above), with one small change that your
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container within the pod must run as privileged. The devices in Kubernetes are added as a host path mounts, they
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are not separated into separate volumes and devices as in the Docker.
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```yaml
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# Example of an incomplete deployment spec
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apiVersion: apps/v1
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kind: Deployment
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metadata: ...
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spec:
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template:
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metadata: ...
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spec:
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securityContext:
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runAsUser: 1000 # Similar to "user: 1000:1000" on Docker
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runAsGroup: 1000
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supplementalGroups:
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- 122 # Change this to match your "render" system group and remove this comment
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- 44 # Chnage this to match your "video" system group and remove this comment
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containers:
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- name: "jellyfin"
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image: ...
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ports: ...
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env: ...
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securityContext:
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privileged: true # Container must run as privileged inside of the pod
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volumeMounts:
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- name: "render-device"
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mountPath: "/dev/dri/renderD128"
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- name: "card-device"
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mountPath: "/dev/dri/card0"
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volumes:
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- name: "render-device"
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hostPath:
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path: "/dev/dri/renderD128"
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- name: "card-device"
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hostPath:
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path: "/dev/dri/card0"
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```
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When the pod starts, you can verify that the VA-API is available by executing:
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```sh
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kubectl exec your_jellyfin_pod_name_here -- /usr/lib/jellyfin-ffmpeg/vainfo
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```
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If you get "error: failed to initialize display" then double check that the "supplementalGroups" are correct.
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### NVIDIA hardware acceleration on Docker (Linux)
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In order to achieve hardware acceleration using Docker, several steps are required.
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