diff --git a/clearml/backend_interface/task/populate.py b/clearml/backend_interface/task/populate.py
index 136a0ce5..83acbddf 100644
--- a/clearml/backend_interface/task/populate.py
+++ b/clearml/backend_interface/task/populate.py
@@ -29,6 +29,7 @@ class CreateAndPopulate(object):
             docker=None,  # Optional[str]
             docker_args=None,  # Optional[str]
             docker_bash_setup_script=None,  # Optional[str]
+            output_uri=None,  # Optional[str]
             base_task_id=None,  # Optional[str]
             add_task_init_call=True,  # bool
             raise_on_missing_entries=False,  # bool
@@ -63,7 +64,9 @@ class CreateAndPopulate(object):
         :param docker: Select the docker image to be executed in by the remote session
         :param docker_args: Add docker arguments, pass a single string
         :param docker_bash_setup_script: Add bash script to be executed
-            inside the docker before setting up the Task's environement
+            inside the docker before setting up the Task's environment
+        :param output_uri: Optional, set the Tasks's output_uri (Storage destination).
+            examples: 's3://bucket/folder', 'https://server/' , 'gs://bucket/folder', 'azure://bucket', '/folder/'
         :param base_task_id: Use a pre-existing task in the system, instead of a local repo/script.
             Essentially clones an existing task and overrides arguments/requirements.
         :param add_task_init_call: If True, a 'Task.init()' call is added to the script entry point in remote execution.
@@ -106,6 +109,7 @@ class CreateAndPopulate(object):
         self.project_name = project_name
         self.task_name = task_name
         self.task_type = task_type
+        self.output_uri = output_uri
         self.task = None
         self.raise_on_missing_entries = raise_on_missing_entries
         self.verbose = verbose
@@ -148,12 +152,18 @@ class CreateAndPopulate(object):
             if self.verbose:
                 print('Cloning task {}'.format(self.base_task_id))
             task = Task.clone(source_task=self.base_task_id, project=Task.get_project_id(self.project_name))
+
+            if self.output_uri:
+                task.output_uri = self.output_uri
         else:
             # noinspection PyProtectedMember
             task = Task._create(
                 task_name=self.task_name, project_name=self.project_name,
                 task_type=self.task_type or Task.TaskTypes.training)
 
+            if self.output_uri:
+                task.output_uri = self.output_uri
+
             # if there is nothing to populate, return
             if not any([
                 self.folder, self.commit, self.branch, self.repo, self.script, self.cwd,
diff --git a/clearml/cli/task/__main__.py b/clearml/cli/task/__main__.py
index f32259b8..7112f557 100644
--- a/clearml/cli/task/__main__.py
+++ b/clearml/cli/task/__main__.py
@@ -56,6 +56,8 @@ def setup_parser(parser):
     parser.add_argument('--docker_bash_setup_script', type=str, default=None,
                         help="Add bash script to be executed inside the docker before setting up "
                              "the Task's environment")
+    parser.add_argument('--output-uri', type=str, default=None, required=False,
+                        help='Optional: set the Task `output_uri` (automatically upload model destination)')
     parser.add_argument('--task-type', type=str, default=None,
                         help='Set the Task type, optional values: '
                              'training, testing, inference, data_processing, application, monitor, '
@@ -105,6 +107,7 @@ def cli():
         docker=args.docker,
         docker_args=args.docker_args,
         docker_bash_setup_script=bash_setup_script,
+        output_uri=args.output_uri,
         base_task_id=args.base_task_id,
         add_task_init_call=not args.skip_task_init,
         raise_on_missing_entries=True,