From bc9bec8673edab656fc40d47c77ebf831e946412 Mon Sep 17 00:00:00 2001 From: mertalev <101130780+mertalev@users.noreply.github.com> Date: Fri, 14 Mar 2025 17:01:23 -0400 Subject: [PATCH] formatting --- docs/docs/features/ml-hardware-acceleration.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/features/ml-hardware-acceleration.md b/docs/docs/features/ml-hardware-acceleration.md index 673f42d2f8..ea2f2cb2ef 100644 --- a/docs/docs/features/ml-hardware-acceleration.md +++ b/docs/docs/features/ml-hardware-acceleration.md @@ -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 - 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 - - 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