Comments (1)
Seldon is neutral to the kubernetes setup so yes you can use on-prem installations with on-prem NFS etc. Seldon itself doesn't require NFS. In this example that is there for storing model weights from training which in this case the inference code loads.
Hope that helps.
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Related Issues (17)
- Install fails with ksonnet 0.10.0.alpha.1 HOT 1
- Wrapping model for MNIST Scikit-learn doesn't work HOT 1
- [prow] Fix the typo in kubernetes/test-infra and setup test HOT 2
- deploy.sh fail with error "must provide URIs beginning with 'github.com'" HOT 3
- Allow a cluster internal internal Docker repo to be used
- Remove argo default cluster binding
- Training error on all frameworks HOT 10
- predict fails and seldondeployment missing .status HOT 13
- prediction_pb2 and prediction_pb2_grpc missing
- Utilize an NFS PVC for storage
- Prediction Analytics Dashboard not showing metrics
- TFJob version out of date
- RESOURCE_ERROR:No valid versions with the prefix \"1.11\" found
- Archive kubeflow/example-seldon
- Update to use latest kubeflow ksonnet registry
- Make pushing to docker repo optional in workflows
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