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https://issues.apache.org/jira/browse/IGNITE-8335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yury Babak resolved IGNITE-8335.
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Resolution: Done
Fix Version/s: 2.7
done in other tasks
> TensorFlow integration
> ----------------------
>
> Key: IGNITE-8335
> URL: https://issues.apache.org/jira/browse/IGNITE-8335
> Project: Ignite
> Issue Type: New Feature
> Components: ml
> Reporter: Yury Babak
> Assignee: Anton Dmitriev
> Priority: Major
> Fix For: 2.7
>
>
> The goal of TensorFlow on Apache Ignite is to allow users to train and
> inference neural network models on a data stored in Apache Ignite distributed
> database utilizing all TensorFlow functionality and Apache Ignite data
> collocation abilities.
> There are 8 questions we need to answer to build TensorFlow on Apache Ignite:
> * How to build and maintain TensorFlow cluster on top of Apache Ignite
> infrastructure utilizing Apache Ignite data collocation abilities?
> * How to pass data from Apache Ignite storage into TensorFlow?
> * How to organize load balancing and optimize Apache Ignite data distribution
> to improve training performance?
> * How to integrate TensorFlow checkpoints mechanism into Apache Ignite
> ecosystem?
> * How to recover after cluster node failures?
> * How to deploy TensorFlow on Apache Ignite in local/cluster/cloud
> environment?
> * How to serve model built in TensorFlow on Apache Ignite?
> * How to profile training using TensorBoard or similar tools?
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