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Update README with troubleshooting instructions for macOS (#469)
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Signed-off-by: Alex Creasy <[email protected]>
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alexcreasy authored Oct 10, 2024
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Expand Up @@ -61,3 +61,21 @@ curl http://localhost:4000/api/v1/model-registry
"model_registry": null
}
```

### Troubleshooting

#### Running on macOS
When running locally on macOS you may find the pods fail to deploy, with one or more stuck in the `pending` state. This is usually due to insufficient memory allocated to your docker / podman virtual machine. You can verify this by running:
```shell
kubectl describe pods -n kubeflow
```
If you're experiencing this issue you'll see an output containing something similar to the following:
```
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning FailedScheduling 29s default-scheduler 0/1 nodes are available: 1 Insufficient memory. preemption: 0/1 nodes are available: 1 No preemption victims found for incoming pod.
```

To fix this, you'll need to increase the amount of memory available to the VM. This can be done through either the Podman Desktop or Docker Desktop GUI. 6-8GB of memory is generally a sufficient amount to use.

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