[ https://issues.apache.org/jira/browse/IGNITE-8335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yury Babak resolved IGNITE-8335. -------------------------------- 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? -- This message was sent by Atlassian JIRA (v7.6.3#76005)