From 437c9becc67d824874b00b4bfe9adcbca33a6cbe Mon Sep 17 00:00:00 2001 From: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> Date: Thu, 26 Feb 2026 11:50:20 -0600 Subject: [PATCH] Update docs/docs/configuration/hardware_acceleration_enrichments.md Co-authored-by: Nicolas Mowen --- docs/docs/configuration/hardware_acceleration_enrichments.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/docs/configuration/hardware_acceleration_enrichments.md b/docs/docs/configuration/hardware_acceleration_enrichments.md index 8f5a13e77..fc246df98 100644 --- a/docs/docs/configuration/hardware_acceleration_enrichments.md +++ b/docs/docs/configuration/hardware_acceleration_enrichments.md @@ -25,7 +25,7 @@ Object detection and enrichments (like Semantic Search, Face Recognition, and Li - **RockChip** - RockChip NPU will automatically be detected and used for semantic search v1 and face recognition in the `-rk` 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 like a Coral or Hailo for object detection. However, one combination that is not supported is the `tensorrt` image for object detection with the `onnx` detector and OpenVINO for enrichments. +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 to run enrichments on an Nvidia GPU and still use other dedicated hardware like a Coral or Hailo for object detection. However, one combination that is not supported is the `tensorrt` image for object detection on an Nvidia GPU and Intel iGPU for enrichments. :::note