Slowdown when two DeepStream processes are running on the same VM

Accelerated Computing Intelligent Video Analytics DeepStream SDK
1

Please provide complete information as applicable to your setup.

• Hardware Platform (Jetson / GPU)
T4
• DeepStream Version
5.0
• JetPack Version (valid for Jetson only)
NA
• TensorRT Version
7.0.0.11
• NVIDIA GPU Driver Version (valid for GPU only)
440.64.00
• Issue Type( questions, new requirements, bugs)

I am running two separate DeepStream-python processes (each one in a separate docker container) on a single VM with a T4 GPU. Separately each process is able to process at 90 fps when running alone. But when both containers are running, both the streams seem to slowdown drastically and run at 20-25 fps. Is there any known issue with multiple DeepStream processes running on the same GPU? How do I proceed with the debugging of this issue?

3

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

Is it possible to run the 2 pipelines in a same process?

5

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