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Docs updates (#17986)

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* docs updates

* revamp hwaccel

* remove

* clarify

* fix

* more clarity

* clean up
This commit is contained in:
Josh Hawkins
2025-05-01 08:17:35 -05:00
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commit 08c087f221
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docs/docs/configuration/hardware_acceleration_enrichments.md
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---
id: hardware_acceleration_enrichments
title: Enrichments
---
# Enrichments
Some of Frigate's enrichments can use a discrete GPU for accelerated processing.
## Requirements
Object detection and enrichments (like Semantic Search, Face Recognition, and License Plate Recognition) are independent features. To use a GPU for object detection, see the [Object Detectors](/configuration/object_detectors.md) documentation. If you want to use your GPU for any supported enrichments, you must choose the appropriate Frigate Docker image for your GPU and configure the enrichment according to its specific documentation.
- **AMD**
- ROCm will automatically be detected and used for enrichments in the `-rocm` Frigate image.
- **Intel**
- OpenVINO will automatically be detected and used for enrichments in the default Frigate image.
- **Nvidia**
- Nvidia GPUs will automatically be detected and used for enrichments in the `-tensorrt` Frigate image.
- Jetson devices will automatically be detected and used for enrichments in the `-tensorrt-jp6` Frigate image.
Utilizing a GPU for enrichments does not require you to use the same GPU for object detection. For example, you can run the `tensorrt` Docker image for enrichments and still use other dedicated hardware for object detection.