@Marvin I am currently using the slurm cluster as my worker and a docker work pool for my deployment, but I would like to add some extra command before starting my container once pulled so the container can be scheduled onto a GPU node. Is there a way for me to achieve this please?

To add a custom command before starting a Docker container that will ensure your containers can be scheduled onto a GPU node, you will need to configure the start command based on the infrastructure and tools you are using. Here's a general approach to accomplish this with Prefect and Docker: 1. First make sure that Prefect is installed in your execution environment (Docker container), as well as configuring the

PREFECT_API_URL

and the

PREFECT_API_KEY

. 2. Depending on your specific requirements, you might need to supply additional arguments to your

docker run

command. For GPU support, you usually require NVIDIA Docker runtime with an argument like

--gpus all

to allocate all available GPUs to your container. This is handled by the NVIDIA Container Toolkit, and your Docker host system must be set up to support this. 3. Here's an example command that might be used to start a Docker container with GPU support:

bash
   docker run --gpus all -e PREFECT_API_URL=<http://localhost:4200/api> my-prefect-image

This command assumes that you are running on Linux and that your Prefect instance is available at

localhost:4200

. 4. If you need to run a custom script or command before starting your Prefect agent or flow runs, you might customize your Dockerfile to include a startup script. For example:

Dockerfile
   FROM your-base-image

   # Copy the startup script into the container
   COPY startup_script.sh /startup_script.sh

   # Give execution permissions to the startup script
   RUN chmod +x /startup_script.sh

   # Setting the entrypoint to your custom script
   ENTRYPOINT ["/startup_script.sh"]

Within your

startup_script.sh

, you could then have:

bash
   #!/bin/bash

   # Your custom commands here

   # Start the Prefect flow or agent
   prefect agent start

5. If your Slurm cluster is responsible for scheduling Docker containers on GPU nodes, you may need to modify your Slurm job scripts instead, adding the necessary GPU resource allocation directives that your cluster requires. Please check your cluster's documentation or talk to the system administrator to find out how GPU resources are requested. 6. Additionally, if the container is going to be run in a Kubernetes environment, you will want to add the necessary configurations in the Kubernetes pod spec to ensure the pod is scheduled on nodes with GPU resources. Remember that the actual command and configurations will vary depending on the specifics of your environment and the scheduler that you are using (whether it's Docker directly, Kubernetes, or Slurm). It's important to check the documentation for each tool or consult your infrastructure's administrator for the precise commands and options required for your environment.