diff --git a/docker/tensorrt/requirements-amd64.txt b/docker/tensorrt/requirements-amd64.txt
index caa65cdb6..597680c00 100644
--- a/docker/tensorrt/requirements-amd64.txt
+++ b/docker/tensorrt/requirements-amd64.txt
@@ -1,18 +1,18 @@
 # Nvidia ONNX Runtime GPU Support
 --extra-index-url 'https://pypi.nvidia.com'
 cython==3.0.*; platform_machine == 'x86_64'
-nvidia-cuda-cupti-cu12==12.9.79; platform_machine == 'x86_64'
-nvidia-cublas-cu12==12.9.1.*; platform_machine == 'x86_64'
-nvidia-cudnn-cu12==9.19.0.*; platform_machine == 'x86_64'
-nvidia-cufft-cu12==11.4.1.*; platform_machine == 'x86_64'
-nvidia-curand-cu12==10.3.10.*; platform_machine == 'x86_64'
-nvidia-cuda-nvcc-cu12==12.9.86; platform_machine == 'x86_64'
-nvidia-cuda-nvrtc-cu12==12.9.86; platform_machine == 'x86_64'
-nvidia-cuda-runtime-cu12==12.9.79; platform_machine == 'x86_64'
-nvidia-cusolver-cu12==11.7.5.*; platform_machine == 'x86_64'
-nvidia-cusparse-cu12==12.5.10.*; platform_machine == 'x86_64'
-nvidia-nccl-cu12==2.29.7; platform_machine == 'x86_64'
-nvidia-nvjitlink-cu12==12.9.86; platform_machine == 'x86_64'
+nvidia-cuda-cupti-cu12==12.8.90; platform_machine == 'x86_64'
+nvidia-cublas-cu12==12.8.4.1; platform_machine == 'x86_64'
+nvidia-cudnn-cu12==9.8.0.87; platform_machine == 'x86_64'
+nvidia-cufft-cu12==11.3.3.83; platform_machine == 'x86_64'
+nvidia-curand-cu12==10.3.9.90; platform_machine == 'x86_64'
+nvidia-cuda-nvcc-cu12==12.8.93; platform_machine == 'x86_64'
+nvidia-cuda-nvrtc-cu12==12.8.93; platform_machine == 'x86_64'
+nvidia-cuda-runtime-cu12==12.8.90; platform_machine == 'x86_64'
+nvidia-cusolver-cu12==11.7.3.90; platform_machine == 'x86_64'
+nvidia-cusparse-cu12==12.5.8.93; platform_machine == 'x86_64'
+nvidia-nccl-cu12==2.26.2.post1; platform_machine == 'x86_64'
+nvidia-nvjitlink-cu12==12.8.93; platform_machine == 'x86_64'
 onnx==1.16.*; platform_machine == 'x86_64'
 onnxruntime-gpu==1.24.*; platform_machine == 'x86_64'
 protobuf==3.20.3; platform_machine == 'x86_64'
diff --git a/docs/docs/frigate/hardware.md b/docs/docs/frigate/hardware.md
index 1e97a0b94..86afbfa53 100644
--- a/docs/docs/frigate/hardware.md
+++ b/docs/docs/frigate/hardware.md
@@ -205,7 +205,7 @@ Inference is done with the `onnx` detector type. Speeds will vary greatly depend
 | GTX 1070    | s-320: 16 ms                          |                           | 320: 14 ms                 |
 | RTX 3050    | t-320: 8 ms s-320: 10 ms s-640: 28 ms | Nano-320: ~ 12 ms         | 320: ~ 10 ms 640: ~ 16 ms  |
 | RTX 3070    | t-320: 6 ms s-320: 8 ms s-640: 25 ms  | Nano-320: ~ 9 ms          | 320: ~ 8 ms 640: ~ 14 ms   |
-| RTX 5060 Ti | t-320: 5 ms s-320: 7 ms s-640: 22 ms  | Nano-320: ~ 6 ms          |                            |
+| RTX 5060 Ti | t-320: 5 ms s-320: 7 ms s-640: 22 ms  | Nano-320: ~ 4 ms          |                            |
 | RTX A4000   |                                       |                           | 320: ~ 15 ms               |
 | Tesla P40   |                                       |                           | 320: ~ 105 ms              |