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https://issues.apache.org/jira/browse/IGNITE-10286?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alexey Zinoviev reassigned IGNITE-10286:
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Assignee: Alexey Zinoviev (was: Yury Babak)
> [ML] Umbrella: Model serving
> ----------------------------
>
> Key: IGNITE-10286
> URL: https://issues.apache.org/jira/browse/IGNITE-10286
> Project: Ignite
> Issue Type: New Feature
> Components: ml
> Reporter: Yury Babak
> Assignee: Alexey Zinoviev
> Priority: Major
> Fix For: 2.8
>
>
> We want to have convenient API for model serving. It means that we need a
> mechanism for storing models and infer them inside Apache Ignite.
> For now, I see 2 important features - distributed storage for any models and
> inference.
> From my point of view, we could use some built-in(predefined) cache as model
> storage. And use service grid for model inference. We could implement some
> "ModelService" for access to our storage, receive the list of all suitable
> model(including model metrics and some other information about a model),
> choose one(or several) and infer it from this service.
> Model from TF should also use the same mechanisms for storing and inference.
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