<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: docs.databricks.com in DELETE</title>
    <link>https://community.databricks.com/t5/delete/docs-databricks-com/m-p/8663#M410</link>
    <description>&lt;P&gt;@Hubert Dudek​&amp;nbsp;: Thanks for letting the community know about this! Your contribution is much appreciated. &lt;/P&gt;</description>
    <pubDate>Wed, 08 Mar 2023 06:44:09 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2023-03-08T06:44:09Z</dc:date>
    <item>
      <title>docs.databricks.com</title>
      <link>https://community.databricks.com/t5/delete/docs-databricks-com/m-p/8662#M409</link>
      <description>&lt;P&gt;&lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=ray&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7035565599430701056" alt="https://www.linkedin.com/feed/hashtag/?keywords=ray&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7035565599430701056" target="_blank"&gt;Ray&lt;/A&gt; is a distributed computing system optimized for low latency and high throughput, making it a good choice for building real-time machine-learning applications. With Ray, you can quickly scale your applications to thousands of machines and use dynamic task scheduling and efficient resource utilization. Now you can run Ray on &lt;A href="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7035565599430701056" alt="https://www.linkedin.com/feed/hashtag/?keywords=databricks&amp;amp;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A7035565599430701056" target="_blank"&gt;databricks&lt;/A&gt; &lt;A href="https://docs.databricks.com/machine-learning/ray-integration.html" target="test_blank"&gt;https://docs.databricks.com/machine-learning/ray-integration.html&lt;/A&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="1677409552683"&gt;&lt;img src="https://community.databricks.com/t5/image/serverpage/image-id/618iC2714FAB6309DCD6/image-size/large?v=v2&amp;amp;px=999" role="button" title="1677409552683" alt="1677409552683" /&gt;&lt;/span&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 27 Feb 2023 12:52:41 GMT</pubDate>
      <guid>https://community.databricks.com/t5/delete/docs-databricks-com/m-p/8662#M409</guid>
      <dc:creator>Hubert-Dudek</dc:creator>
      <dc:date>2023-02-27T12:52:41Z</dc:date>
    </item>
    <item>
      <title>Re: docs.databricks.com</title>
      <link>https://community.databricks.com/t5/delete/docs-databricks-com/m-p/8663#M410</link>
      <description>&lt;P&gt;@Hubert Dudek​&amp;nbsp;: Thanks for letting the community know about this! Your contribution is much appreciated. &lt;/P&gt;</description>
      <pubDate>Wed, 08 Mar 2023 06:44:09 GMT</pubDate>
      <guid>https://community.databricks.com/t5/delete/docs-databricks-com/m-p/8663#M410</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2023-03-08T06:44:09Z</dc:date>
    </item>
  </channel>
</rss>

