Yeah, I simply used a different port but I got this output:
(prediction_module) emilio@unicorn:~/clearml-serving$ docker run -v ~/clearml.conf:/root/clearml.conf -p 9501:9501 -e CLEARML_SERVING_TASK_ID=7ce187d2218048e68fc594fa49db0051 -e CLEARML_SERVING_POLL_FREQ=5 clearml-serving-inference:latest CLEARML_SERVING_TASK_ID=7ce187d2218048e68fc594fa49db0051 CLEARML_SERVING_PORT= CLEARML_USE_GUNICORN= EXTRA_PYTHON_PACKAGES= CLEARML_SERVING_NUM_PROCESS= CLEARML_SERVING_POLL_FREQ=5 CLEARML_DEFAULT_KAFKA_SERVE_URL= CLEARML_DEFAULT_KAFKA_SERVE_URL= WEB_CONCURRENCY= SERVING_PORT=8080 GUNICORN_NUM_PROCESS=4 GUNICORN_SERVING_TIMEOUT= GUNICORN_EXTRA_ARGS= UVICORN_SERVE_LOOP=asyncio UVICORN_EXTRA_ARGS= CLEARML_DEFAULT_BASE_SERVE_URL= CLEARML_DEFAULT_TRITON_GRPC_ADDR=127.0.0.1:8001 Starting Uvicorn server ClearML Task: created new task id=e24dece9bd2c41a3ba11fd010f654837 ClearML results page: 2022-03-28 14:38:36,581 - clearml.Task - INFO - No repository found, storing script code instead INFO: Started server process [8] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on (Press CTRL+C to quit)