From 407463106b018dd8b99d950cde67c3bff48e8ef5 Mon Sep 17 00:00:00 2001 From: Nicolas Mowen Date: Fri, 25 Jul 2025 09:08:53 -0600 Subject: [PATCH] Make docs more consistent --- docs/docs/frigate/hardware.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md index 243376cb3..ddae2e1b5 100644 --- a/docs/docs/frigate/hardware.md +++ b/docs/docs/frigate/hardware.md @@ -60,7 +60,7 @@ Frigate supports multiple different detectors that work on different types of ha **AMD** -- [ROCm](#amd-gpus): ROCm can run on AMD Discrete GPUs to provide efficient object detection +- [ROCm](#rocm---amd-gpu): ROCm can run on AMD Discrete GPUs to provide efficient object detection - [Supports limited model architectures](../../configuration/object_detectors#supported-models-1) - Runs best on discrete AMD GPUs @@ -147,7 +147,7 @@ Inference speeds vary greatly depending on the CPU or GPU used, some known examp Frigate is able to utilize an Nvidia GPU which supports the 12.x series of CUDA libraries. -### Minimum Hardware Support +#### Minimum Hardware Support 12.x series of CUDA libraries are used which have minor version compatibility. The minimum driver version on the host system must be `>=545`. Also the GPU must support a Compute Capability of `5.0` or greater. This generally correlates to a Maxwell-era GPU or newer, check the NVIDIA GPU Compute Capability table linked below. @@ -177,7 +177,7 @@ Inference speeds will vary greatly depending on the GPU and the model used. | Quadro P400 2GB | 20 - 25 ms | | | | Quadro P2000 | ~ 12 ms | | | -### AMD GPUs +### ROCm - AMD GPU With the [rocm](../configuration/object_detectors.md#amdrocm-gpu-detector) detector Frigate can take advantage of many discrete AMD GPUs.