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    <title>topic When can Horovod be used for an ML problem? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/when-can-horovod-be-used-for-an-ml-problem/m-p/25945#M18113</link>
    <description>&lt;P&gt;When can Horovod be used for an ML problem?&lt;/P&gt;</description>
    <pubDate>Mon, 07 Jun 2021 17:59:10 GMT</pubDate>
    <dc:creator>User16788317466</dc:creator>
    <dc:date>2021-06-07T17:59:10Z</dc:date>
    <item>
      <title>When can Horovod be used for an ML problem?</title>
      <link>https://community.databricks.com/t5/data-engineering/when-can-horovod-be-used-for-an-ml-problem/m-p/25945#M18113</link>
      <description>&lt;P&gt;When can Horovod be used for an ML problem?&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jun 2021 17:59:10 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/when-can-horovod-be-used-for-an-ml-problem/m-p/25945#M18113</guid>
      <dc:creator>User16788317466</dc:creator>
      <dc:date>2021-06-07T17:59:10Z</dc:date>
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    <item>
      <title>Re: When can Horovod be used for an ML problem?</title>
      <link>https://community.databricks.com/t5/data-engineering/when-can-horovod-be-used-for-an-ml-problem/m-p/25946#M18114</link>
      <description>&lt;P&gt;Only when you have a gradient-descent problem. Pytorch and Tensorflow are the only candidate frameworks to use here. When using Horovod, start with single node, multi-GPU and measure training performance. If this is not sufficient, look at a multi-node, multi-GPU setup.&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jun 2021 18:02:24 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/when-can-horovod-be-used-for-an-ml-problem/m-p/25946#M18114</guid>
      <dc:creator>User16788317466</dc:creator>
      <dc:date>2021-06-07T18:02:24Z</dc:date>
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