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@ -33,7 +33,7 @@ You do not need to redo any transcoding jobs after enabling hardware acceleratio
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#### NVENC
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- You must have the official NVIDIA driver installed on the server.
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- On Linux (except for WSL2), you also need to have [NVIDIA Container Runtime][nvcr] installed.
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- On Linux (except for WSL2), you also need to have [NVIDIA Container Toolkit][nvct] installed.
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#### QSV
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@ -122,7 +122,7 @@ Once this is done, you can continue to step 3 of "Basic Setup".
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- While you can use VAAPI with NVIDIA and Intel devices, prefer the more specific APIs since they're more optimized for their respective devices
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[hw-file]: https://github.com/immich-app/immich/releases/latest/download/hwaccel.transcoding.yml
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[nvcr]: https://github.com/NVIDIA/nvidia-container-runtime/
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[nvct]: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
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[jellyfin-lp]: https://jellyfin.org/docs/general/administration/hardware-acceleration/intel/#configure-and-verify-lp-mode-on-linux
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[jellyfin-kernel-bug]: https://jellyfin.org/docs/general/administration/hardware-acceleration/intel/#known-issues-and-limitations
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[libmali-rockchip]: https://github.com/tsukumijima/libmali-rockchip/releases
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@ -38,7 +38,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele
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- The GPU must have compute capability 5.2 or greater.
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- The server must have the official NVIDIA driver installed.
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- The installed driver must be >= 535 (it must support CUDA 12.2).
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- On Linux (except for WSL2), you also need to have [NVIDIA Container Runtime][nvcr] installed.
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- On Linux (except for WSL2), you also need to have [NVIDIA Container Toolkit][nvct] installed.
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#### OpenVINO
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@ -99,7 +99,7 @@ You can confirm the device is being recognized and used by checking its utilizat
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:::
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[hw-file]: https://github.com/immich-app/immich/releases/latest/download/hwaccel.ml.yml
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[nvcr]: https://github.com/NVIDIA/nvidia-container-runtime/
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[nvct]: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html
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## Tips
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