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https://issues.apache.org/jira/browse/IGNITE-8795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Dmitriy Pavlov updated IGNITE-8795:
-----------------------------------
Fix Version/s: (was: 2.6)
2.7
> Add ability to start and maintain TensorFlow cluster on top of Apache Ignite
> ----------------------------------------------------------------------------
>
> Key: IGNITE-8795
> URL: https://issues.apache.org/jira/browse/IGNITE-8795
> Project: Ignite
> Issue Type: New Feature
> Components: ml
> Reporter: Yury Babak
> Assignee: Anton Dmitriev
> Priority: Major
> Fix For: 2.7
>
>
> As described in the [design
> document|https://docs.google.com/document/d/1jROIahK1rc7bSgOvhJhfpMqIGvht_IE8zn5NAt6x8ks/edit?usp=sharing],
> Distributed TensorFlow is based on TensorFlow cluster concept. It's a set of
> TensorFlow processes started among the cluster and available througth the
> gRPC interfaces. It's assumed that these processes contain heavy operations
> that requires data to be stored locally on the nodes where the processes
> running. Apache Ignite admits the data to be moved from one node to another
> as result of node failure of rebalancing. As result the TensorFlow cluster
> should be changed dynamically as well as TensorFlow Cache (follow-the-data
> strategy).
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