Deep learning inference on streaming media data, such as object detection in\nvideo or LiDAR feeds and text extraction from audio waves, is now ubiquitous.\nTo achieve high inference accuracy, these applications typically require\nsignificant network bandwidth to gather high-fidelity data and extensive GPU\nresources to run deep neural networks (DNNs). While the high demand for network\nbandwidth and GPU resources could be substantially reduced by optimally\nadapting the configuration knobs, such as video resoluti…