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

Flyte

Hey guys,
Following deployment guide I got to a point with a proper cluster and flyte console running but the nodes (using the guide) includes <http://flyte.org/node-role=workers|flyte.org/node-role=workers> toleration but the pods scheduled from flyte doesn’t… how can I fix it to make the flyte pods to include that toleration?

<https://github.com/unionai-oss/deploy-flyte/tree/main/environments/aws>

using this guide, fixed by adding
```        default-tolerations:
          - key: '<http://flyte.org/node-role|flyte.org/node-role>'
            operator: 'Equal'
            value: 'worker'
            effect: 'NoSchedule'```

<@U05PSQYT57E> I'm facing the same issue (job requesting gpu do not trigger autoscaling with message such as: `pod didn't trigger scale-up: 3 node(s) didn't match Pod's node affinity/selector, 3 node(s) had taint {<http://flyte.org/node-role|flyte.org/node-role>: worker}, that the pod didn't tolerate`) , and I'm trying to figure out where I should put this additional config.

Is it in the helm chart values ?

Did you use the syntax suggested in this <https://docs.flyte.org/projects/cookbook/en/stable/auto_examples/productionizing/configure_use_gpus.html|doc page> (which uses `resources-toleration` instead of `default-tolerations` ) ?

It would be awesome if you could share a bigger yaml snippet :slightly_smiling_face:

Found it:
```configuration:
  inline:
    plugins:
      k8s:
        default-tolerations:
          - key: 'flyte.org/node-role'
            operator: 'Equal'
            value: 'worker'
            effect: 'NoSchedule'```