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Make docs more consistent

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Nicolas Mowen 2025-07-25 09:08:53 -06:00 committed by GitHub
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docs/docs/frigate/hardware.md
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@ -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.