[stable32] feat(AI/LiveTranscription): add resource requirements (#14050)

Signed-off-by: Anupam Kumar <kyteinsky@gmail.com>
This commit is contained in:
Anupam Kumar
2026-02-03 15:29:39 +05:30
committed by GitHub
parent 5706efce22
commit e2f7018dc2

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@@ -40,6 +40,33 @@ Installation
and the High-Performance Backend must be functionally configured in Nextcloud Talk settings for the app to work.
Requirements
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* Nextcloud AIO is supported
* We currently support NVIDIA GPUs and x86_64 CPUs. Only CPU-based transcription is supported and works well on modern x86 CPUs.
* CUDA >= v12.4.1 on your host system for GPU-based transcription
* GPU Sizing
* A NVIDIA GPU with at least 10 GB VRAM
* 16 GB of system RAM should be enough for one or two concurrent calls
* CPU Sizing
* x86 CPU with 4 threads. Additional 2 threads per concurrent call.
* 16 GB of RAM should be enough for one or two concurrent calls
* Space usage
* ~ 2.8 GB for the docker container
* ~ 6.0 GB for the default models
.. note::
We currently have very little real-world experience running this software on production instances.
The above sizing recommendations come from our estimates and are not real-world benchmarks.
Actual requirements will vary based on factors such as the number of concurrent calls, audio quality, and selected languages.
Please do thorough testing to confirm your hardware meets your needs.
App store
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