Please provide complete information as applicable to your setup.
**• AGX ( 32G )
**• Jetpack 4.5.1
**• TensorRT 7.1.3
**• Nvidia L4T 32.5.1
**• running multiples deepstream app and consume almost 25G memory with tiny yolov3 as primary detector , resnet18 as classifier , GPU consumption : 25% , Memory : 25G , average CPU : 60% when running 17 deepstream-app .
would like to know why the GPU only consume around 25% but memory is almost hitting the max ( out of 32G )
would like to know any recommended configuration on running multiples instances of deepstream instead of batch mode .