update nvidia docs.

webpage/docs/configuration/capture.md

@@ -279,6 +279,33 @@ See documentation for [ximagesrc](https://gstreamer.freedesktop.org/documentatio
 
     This configuration requires [Nvidia GPU](https://developer.nvidia.com/cuda-gpus) with [NVENC](https://developer.nvidia.com/nvidia-video-codec-sdk) support.
 
+    ```yaml title="config.yaml"
+    capture:
+      video:
+        codec: h264
+        ids: [ main ]
+        pipelines:
+          main:
+            gst_pipeline: |
+              ximagesrc display-name={display} show-pointer=true use-damage=false
+              ! cudaupload ! cudaconvert ! queue
+              ! video/x-raw(memory:CUDAMemory),format=NV12
+              ! nvh264enc
+                name=encoder
+                preset=2
+                gop-size=25
+                spatial-aq=true
+                temporal-aq=true
+                bitrate=4096
+                vbv-buffer-size=4096
+                rc-mode=6
+              ! h264parse config-interval=-1
+              ! video/x-h264,stream-format=byte-stream
+              ! appsink name=appsink
+    ```
+
+    This configuration requires [Nvidia GPU](https://developer.nvidia.com/cuda-gpus) with [NVENC](https://developer.nvidia.com/nvidia-video-codec-sdk) support and [Cuda](https://developer.nvidia.com/cuda-zone) support.
+
   </TabItem>
 </Tabs>
 

webpage/docs/installation/docker-images.md

@@ -241,7 +241,7 @@ For images with Nvidia GPU hardware acceleration using EGL use:
 - [`ghcr.io/m1k1o/neko/nvidia-microsoft-edge`](https://ghcr.io/m1k1o/neko/nvidia-microsoft-edge)
 - [`ghcr.io/m1k1o/neko/nvidia-brave`](https://ghcr.io/m1k1o/neko/nvidia-brave)
 
-The base image is available at [`ghcr.io/m1k1o/neko/nvidia-base`](https://ghcr.io/m1k1o/neko/nvidia-base).
+The base image is available at [`ghcr.io/m1k1o/neko/nvidia-base`](https://ghcr.io/m1k1o/neko/nvidia-base). See [Examples](/docs/v3/installation/examples#nvidia) for more information and usage.
 
 ## Supported Architectures {#arch}
 

webpage/docs/installation/examples.md

@@ -113,9 +113,9 @@ services:
 
 ## Nvidia GPU Acceleration {#nvidia}
 
-Neko supports hardware acceleration using Nvidia GPUs. To use this feature, you need to have the Nvidia Container Toolkit installed on your system. You can find the installation instructions [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html).
+Neko supports hardware acceleration using Nvidia GPUs. To use this feature, you need to have the Nvidia Container Toolkit installed on your system. You can find the installation instructions [here](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html). Check if your GPU supports hardware encoding with [this list](https://developer.nvidia.com/video-encode-decode-gpu-support-matrix).
 
-This example shows how to accelerate video encoding and as well the browser rendering using the GPU. You can test if the GPU is used by running `nvidia-smi`, which should show the GPU usage of both the browser and neko. In the browser, you can run the [WebGL Aquarium Demo](https://webglsamples.org/aquarium/aquarium.html) to test the GPU usage.
+This example shows how to accelerate video encoding and as well the browser rendering using the GPU. You can test if the GPU is used by running `nvtop` or `nvidia-smi`, which should show the GPU usage of both the browser and neko. In the browser, you can run the [WebGL Aquarium Demo](https://webglsamples.org/aquarium/aquarium.html) to test the GPU usage.
 
 ```yaml title="docker-compose.yaml"
 services:
@@ -130,8 +130,8 @@ services:
       NEKO_CAPTURE_VIDEO_PIPELINE: |
         ximagesrc display-name={display} show-pointer=true use-damage=false
           ! video/x-raw,framerate=25/1
-          ! videoconvert ! queue
+          ! cudaupload ! cudaconvert ! queue
-          ! video/x-raw,format=NV12
+          ! video/x-raw(memory:CUDAMemory),format=NV12
           ! nvh264enc
             name=encoder
             preset=2
@@ -161,7 +161,11 @@ services:
 
 See available [Nvidia Docker Images](/docs/v3/installation/docker-images#nvidia).
 
-If you only want to accelerate the encoding, **not the browser rendering**, you can use the default image with additional environment variables:
+:::note
+If your Nvidia GPU does not support CUDA, you can use the pipeline below without `cudaupload` and `cudaconvert`. This should work with older GPUs, but the performance might be lower.
+:::
+
+If you only want to accelerate the encoding, **not the browser rendering**, and you do not need [Cuda library](https://gstreamer.freedesktop.org/documentation/cuda/index.html?gi-language=c), you can use the default image with additional environment variables:
 
 ```yaml title="docker-compose.yaml"
 services:
@@ -181,8 +185,10 @@ services:
       NEKO_CAPTURE_VIDEO_PIPELINE: |
         ximagesrc display-name={display} show-pointer=true use-damage=false
           ! video/x-raw,framerate=25/1
+      # highlight-start
           ! videoconvert ! queue
           ! video/x-raw,format=NV12
+      # highlight-end
           ! nvh264enc
             name=encoder
             preset=2