Update KServe 2023 Roadmap #2526
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Signed-off-by: Dan Sun <dsun20@bloomberg.net>
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| Reference：[Python SDK issues](https://github.com/kserve/kserve/issues?q=is%3Aissue+is%3Aopen+label%3Akserve%2Fsdk), [Storage issues](https://github.com/kserve/kserve/issues?q=is%3Aissue+is%3Aopen+label%3Akfserving%2Fstorage) | ||
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| ## Objective: "Graduate ModelMesh to beta" |
| * Single install for KServe which includes SingleModel and ModelMesh Serving | ||
| # KServe 2023 Roadmap | ||
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| ## Objective: "Graduate core inference capability to stable/GA" |
ROADMAP.md
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| ## Objective: "Graduate core inference capability to stable/GA" | ||
| - Promote `InferenceService` and `ClusterServingRuntime`/`ServingRuntime` CRD from v1beta1 to v1 | ||
| * Improve gRPC yaml interface. |
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would it help to be more specific here? improve is very general - how does it need to be improved? faster? cleaner code? more features?
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We want to use the explicit protocol field for turning on gRPC instead of the way we do currently to expose container port
https://kserve.github.io/website/0.9/modelserving/v1beta1/tensorflow/#create-the-grpc-inferenceservice
Co-authored-by: Alexa Griffith <agriffith50@bloomberg.net> Signed-off-by: Dan Sun <dsun20@bloomberg.net>
Signed-off-by: Dan Sun <dsun20@bloomberg.net>
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