Manage multiple stream RTSP with GPU

Hi, I have to manage many RTSP streams, how can I decode entirely on the GPU, with little load on the CPU?
I would like to do everything with deepstream can you tell me how to configure everything so that it works?

Please provide complete information as applicable to your setup.
• Hardware Platform (Jetson / GPU)
• DeepStream Version
• JetPack Version (valid for Jetson only)
• TensorRT Version
• NVIDIA GPU Driver Version (valid for GPU only)
• Issue Type( questions, new requirements, bugs)
• How to reproduce the issue ? (This is for bugs. Including which sample app is using, the configuration files content, the command line used and other details for reproducing)
• Requirement details( This is for new requirement. Including the module name-for which plugin or for which sample application, the function description)
• The pipeline being used

Deepstream usually does not use cpu codec, so CPU load is usually not high.

You can try deepstream-app in /opt/nvidia/deepstream/deepstream/sources/apps/sample_apps/deepstream-app.

You can add source[index your rtsp source] item in configuration file.

• Hardware Platform: GPU RTX 3060
• DeepStream Version: 6.2
• NVIDIA GPU Driver Version: nvidia-driver-535
• UBUNTU 22.04
we need an updated user guide to install deepstream or to use gstreamer on nvidia GPU.

Do you have an example of an app that handles multiple RTSP streams without doing anything else?

There is no update from you for a period, assuming this is not an issue anymore. Hence we are closing this topic. If need further support, please open a new one. Thanks

You can refer source30_1080p_dec_infer-resnet_tiled_display_int8.yml in /opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app

Replace the uri in sources_30.csv as yours

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