How does it work with k8s?

You need to install the clearml-glue and them on the Task request the container, notice you need to preconfigure the clue with the correct Job YAML

How does it work with k8s? how can I request the two pods to sit on the same gpu?

TartLeopard58 EnthusiasticCow4
Notice that when you are spinning multiple agents on the same GPU, the Tasks should request the "correct" fractional GPU container, i.e. if they pick a "regular" no mem limit.
So something like

CLEARML_WORKER_NAME=host-gpu0a clearml-agent daemon --gpus 0 clearml/fractional-gpu:u22-cu12.3-2gb
CLEARML_WORKER_NAME=host-gpu0b clearml-agent daemon --gpus 0 clearml/fractional-gpu:u22-cu12.3-2gb

Also remeber to add --pid=host to your conf file extra_docker_arguments
None

PerplexedRaccoon19

is it in the OSS version too?

Yep, free of charge ❤

EnthusiasticCow4

Is there currently a way to bind the same GPU to multiple queues? I believe the agent complains last time I tried (which was a bit ago)

run multiple agents on the same GPU,

CLEARML_WORKER_NAME=host-gpu0a clearml-agent daemon --gpus 0
CLEARML_WORKER_NAME=host-gpu0b clearml-agent daemon --gpus 0

I’m also curious if it’s available to bind the same GPU to multiple queues.

is it in the OSS version too?

AMAZING!

Is there currently a way to bind the same GPU to multiple queues? I believe the agent complains last time I tried (which was a bit ago).

That's great! I look forward to trying this out.