Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

Flyte

`Raw containers cannot be run locally at the moment.`
What does this statement mean? So, even if I have local images, I am unable to implement Flyte on them?

Referring to <https://github.com/flyteorg/flytesnacks/blob/improve-multiple-container/cookbook/core/containerization/raw_container.py|this> file, how to run <https://github.com/flyteorg/flytesnacks/blob/improve-multiple-container/cookbook/core/containerization/raw_container.py|this> file locally?

We will skip the raw container task if running locally, and the output of raw container is always None.
<https://github.com/flyteorg/flytekit/blob/386626356ff2cb810733a29a51cf3d6351c8424d/flytekit/core/container_task.py#L72-L81>

Thank you <@USU6W5ATA>! I've upgraded and everything works as expected now :slightly_smiling_face:
In case anyone else attempts this, I had to change the image repository for `flyteadmin` from <http://cr.flyte.org/flyteorg/flyteadmin-release|cr.flyte.org/flyteorg/flyteadmin-release> to <http://ghcr.io/flyteorg/flyteadmin|ghcr.io/flyteorg/flyteadmin> for this to work

So, where do I run `raw_container.py` to see at least how can I achieve it for custom containers. I am unable to see the output of demo example.

Start a sandbox, and use pyflyte to run this workflow in the flyte cluster.
```pyflyte run --remote raw_container wf --a 2 --b 2```