Sanitized mirror from private repository - 2026-04-19 08:15:48 UTC
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olares/tdarr-node-chart/OlaresManifest.yaml
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65
olares/tdarr-node-chart/OlaresManifest.yaml
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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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