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Create KIND deployment option for MLX including KFP #73
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/assign @sabary661990615 |
@ckadner: GitHub didn't allow me to assign the following users: sabary661990615. Note that only machine-learning-exchange members, repo collaborators and people who have commented on this issue/PR can be assigned. Additionally, issues/PRs can only have 10 assignees at the same time. In response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
FYI non org members only can self assign issues. |
Yup. I sent Yash an |
FYI @romeokienzler -- Yash is working on a KIND deployment option for MLX |
Resolves machine-learning-exchange#73 Signed-off-by: Christian Kadner <ckadner@us.ibm.com>
* Add docs for KIND deployment Resolves #73 Signed-off-by: Christian Kadner <ckadner@us.ibm.com> * Update after review comments Signed-off-by: Christian Kadner <ckadner@us.ibm.com> * Update kustomize install instructions Signed-off-by: Christian Kadner <ckadner@us.ibm.com> * Use mlx-single-kind deployment Signed-off-by: Christian Kadner <ckadner@us.ibm.com>
See local cluster deployment options for Kubeflow Pipelines at https://www.kubeflow.org/docs/components/pipelines/installation/localcluster-deployment/.
The MLX API and UI should simply be deployed on top of that. Easy as pie 😄 🍰
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