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mertalev
2025-03-14 17:01:23 -04:00
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docs/docs/features/ml-hardware-acceleration.md
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@@ -58,7 +58,7 @@ You do not need to redo any machine learning jobs after enabling hardware accele
- RKNPU driver V0.9.8 or later must be available in the host server - RKNPU driver V0.9.8 or later must be available in the host server
- You may confirm this by running `cat /sys/kernel/debug/rknpu/version` to check the version - You may confirm this by running `cat /sys/kernel/debug/rknpu/version` to check the version
- Optional: Configure your `.env` file, see [environment variables](/docs/install/environment-variables) for RKNN specific settings - Optional: Configure your `.env` file, see [environment variables](/docs/install/environment-variables) for RKNN specific settings
- In particular, setting `MACHINE_LEARNING_RKNN_THREADS` to 2 or 3 can *dramatically* improve performance for RK3576 and RK3588 compared to the default of 1, at the expense of multiplying the amount of RAM each model uses by that amount. - In particular, setting `MACHINE_LEARNING_RKNN_THREADS` to 2 or 3 can _dramatically_ improve performance for RK3576 and RK3588 compared to the default of 1, at the expense of multiplying the amount of RAM each model uses by that amount.
## Setup ## Setup