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| <title>TensorFlow - Apache Ignite</title> |
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| content="Acceleration of TensorFlow workloads with Apache Ignite in-memory computing platform."/> |
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| <article> |
| <header> |
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| <h1><strong>Deep Learning</strong> With TensorFlow and Apache Ignite</h1> |
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| <div class="container"> |
| |
| |
| <p> |
| TensorFlow is an open-source software library for high-performance numerical computation that is |
| used mostly for deep learning and other computationally intensive machine learning tasks. |
| Its flexible architecture allows easy deployment of computation across a variety of platforms |
| (CPUs, GPUs, TPUs). |
| </p> |
| <img class="img-responsive diagram-right" src="/images/tensorflow-1.png" alt="Deep Learning With TensorFlow and Apache Ignite" /> |
| <p> |
| TensorFlow and Apache Ignite® can be used together to provide a full toolset needed to work with operational |
| and historical data, perform data analysis, and build complex mathematical models based |
| on neural networks. |
| </p> |
| <p> |
| Technically, TensorFlow uses Ignite as a data source for neural |
| network training, inference, and all other computations supported getting the following |
| advantages:</p> |
| |
| <ul class="page-list" > |
| <li> |
| <strong>Unlimited Capacity</strong> - Ignite is used as a distributed database with |
| unlimited capacity that is capable of holding petabytes of data needed for deep learning |
| tasks of TensorFlow.</li> |
| <li> |
| <strong>Faster Performance</strong> - There will be minimal or zero data movement over the |
| network if TensorFlow workers are deployed on the same machines with Ignite nodes. Each |
| TensorFlow worker will work with an Ignite node local to it. |
| </li> |
| <li> |
| <strong>Fault Tolerance</strong> - In case of a failure during a calculation, Ignite will be |
| capable of restarting the process from the point of failure. |
| </li> |
| </ul> |
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| <div class="title display-6">Learn More</div> |
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| <p> |
| <a href="https://apacheignite.readme.io/docs/tensor-flow" target="docs"> |
| Apache Ignite for TensorFlow Documentation <i class="fa fa-angle-double-right"></i> |
| </a> |
| </p> |
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| <p> |
| <a href="/features/machinelearning.html"> |
| Apache Ignite Machine Learning <i class="fa fa-angle-double-right"></i> |
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