Sanitized mirror from private repository - 2026-04-18 11:19:59 UTC
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6
olares/tdarr-node-chart/Chart.yaml
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6
olares/tdarr-node-chart/Chart.yaml
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apiVersion: v2
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appVersion: 2.67.01
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description: Tdarr transcoding node with NVIDIA GPU hardware acceleration
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name: tdarr-node
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type: application
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version: 1.0.0
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65
olares/tdarr-node-chart/OlaresManifest.yaml
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olares/tdarr-node-chart/OlaresManifest.yaml
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---
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olaresManifest.version: "0.10.0"
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olaresManifest.type: app
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apiVersion: 'v2'
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metadata:
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name: tdarr-node
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icon: https://raw.githubusercontent.com/HaveAGitGat/Tdarr/master/Tdarr_Logo.png
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description: GPU-accelerated Tdarr transcoding node using NVIDIA NVENC on RTX 5090.
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appid: tdarr-node
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title: Tdarr Node (GPU)
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version: "1.0.0"
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categories:
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- Media
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spec:
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versionName: "2.67.01"
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fullDescription: |
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## OVERVIEW ##
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Tdarr transcoding node with NVIDIA RTX 5090 GPU hardware acceleration.
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Connects to the Tdarr server on Atlantis (192.168.0.200:8266) and processes
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transcode jobs using NVENC for 10-15x real-time 4K HEVC encoding.
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Media is mounted read-only from Atlantis NAS via NFS at /media.
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Cache/temp files use a shared NFS mount at /mnt/atlantis_cache.
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## GPU Transcoding ##
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Uses NVIDIA NVENC (dedicated hardware encoder) — does NOT compete with
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CUDA inference (Ollama). Can run simultaneously with Jellyfin transcoding.
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RTX 5090 supports up to 8 concurrent NVENC sessions.
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developer: HaveAGitGat
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website: https://tdarr.io/
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sourceCode: https://github.com/HaveAGitGat/Tdarr
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submitter: vishinator
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locale:
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- en-US
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license:
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- text: Source Available
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url: https://github.com/HaveAGitGat/Tdarr
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limitedCpu: "8"
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requiredCpu: 500m
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requiredDisk: 50Mi
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limitedDisk: 10Gi
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limitedMemory: 16Gi
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requiredMemory: 2Gi
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supportArch:
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- amd64
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onlyAdmin: true
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permission:
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appData: true
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appCache: true
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options:
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apiTimeout: 0
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appScope:
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clusterScoped: true
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appRef:
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- tdarr-node
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dependencies:
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- name: olares
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version: '>=1.12.0-0'
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type: system
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2
olares/tdarr-node-chart/owners
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olares/tdarr-node-chart/owners
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owners:
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- 'vishinator'
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91
olares/tdarr-node-chart/templates/deployment.yaml
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olares/tdarr-node-chart/templates/deployment.yaml
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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: tdarr-node
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namespace: "{{ .Release.Namespace }}"
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labels:
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app: tdarr-node
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io.kompose.service: tdarr-node
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spec:
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replicas: 1
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strategy:
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type: Recreate
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selector:
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matchLabels:
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app: tdarr-node
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io.kompose.service: tdarr-node
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template:
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metadata:
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labels:
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app: tdarr-node
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io.kompose.service: tdarr-node
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io.kompose.network/chrome-default: "true"
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spec:
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runtimeClassName: nvidia
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containers:
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- name: tdarr-node
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image: "{{ .Values.image }}"
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env:
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- name: PUID
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value: "1029"
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- name: PGID
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value: "100"
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- name: TZ
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value: "{{ .Values.timezone }}"
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- name: UMASK
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value: "022"
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- name: nodeName
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value: "{{ .Values.nodeName }}"
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- name: serverIP
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value: "{{ .Values.serverIP }}"
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- name: serverPort
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value: "{{ .Values.serverPort }}"
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- name: inContainer
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value: "true"
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- name: ffmpegVersion
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value: "6"
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- name: NVIDIA_VISIBLE_DEVICES
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value: "all"
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- name: NVIDIA_DRIVER_CAPABILITIES
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value: "all"
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resources:
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limits:
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cpu: "8"
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memory: 16Gi
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requests:
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cpu: 500m
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memory: 2Gi
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volumeMounts:
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- name: config
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mountPath: /app/configs
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- name: logs
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mountPath: /app/logs
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- name: media
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mountPath: /media
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- name: cache-temp
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mountPath: /temp
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- name: cache
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mountPath: /cache
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volumes:
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- name: config
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hostPath:
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path: "{{ .Values.configPath }}/configs"
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type: DirectoryOrCreate
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- name: logs
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hostPath:
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path: "{{ .Values.configPath }}/logs"
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type: DirectoryOrCreate
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- name: media
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hostPath:
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path: "{{ .Values.mediaPath }}"
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type: Directory
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- name: cache-temp
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hostPath:
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path: "{{ .Values.cachePath }}"
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type: Directory
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- name: cache
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hostPath:
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path: "{{ .Values.cachePath }}"
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type: Directory
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restartPolicy: Always
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8
olares/tdarr-node-chart/values.yaml
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8
olares/tdarr-node-chart/values.yaml
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@@ -0,0 +1,8 @@
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image: ghcr.io/haveagitgat/tdarr_node@sha256:dc23becc667f77d2489b1042REDACTED_GITEA_TOKEN
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nodeName: Olares
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serverIP: "192.168.0.200"
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serverPort: "8266"
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mediaPath: /mnt/atlantis_media
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cachePath: /mnt/atlantis_cache
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configPath: /var/olares/userdata/tdarr-node
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timezone: America/Los_Angeles
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