# CV Model Workflows These images are intended for **computer vision models** such as YOLO, SSD, Faster R-CNN, and ResNet-based architectures. **Recommended image:** - `cloud_ai_inference_pytools` **Typical usage:** - Export or load ONNX models - Generate calibration profiles - Compile models using `qaic-compile` - Run inference using `qaic-runner` **Example: Interactive CV workflow** docker pull ghcr.io/quic/cloud_ai_inference_pytools:1.21.2.0 Copy to clipboard docker run --rm -it \ --shm-size=2gb \ --network host \ -v $PWD:/workspace \ --device /dev/accel/ \ ghcr.io/quic/cloud_ai_inference_pytools:1.21.2.0 \ /bin/bash Copy to clipboard Last Published: Aug 25, 2026 [Previous Topic Disaggregated LLM Serving](https://docs.qualcomm.com/bundle/publicresource/80-99100-3/topics/disagg-workflows.md) [Next Topic Production Serving and Management](https://docs.qualcomm.com/bundle/publicresource/80-99100-3/topics/production-serving-management.md)