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      <title>How Discord Scaled its ML Platform from Single-GPU Workflows to a Shared Ray Cluster</title>
      <link>https://www.infoq.com/news/2025/12/discord-ray/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=MLOps-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/12/discord-ray/en/headerimage/generatedHeaderImage-1764719109269.jpg"/&gt;&lt;p&gt;Discord has detailed how it rebuilt its machine learning platform after hitting the limits of single-GPU training. The changes enabled daily retrains for large models and contributed to a 200% uplift in a key ads ranking metric.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Machine Learning</category>
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      <category>Kubernetes</category>
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      <pubDate>Wed, 03 Dec 2025 11:34:00 GMT</pubDate>
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      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2025-12-03T11:34:00Z</dc:date>
      <dc:identifier>/news/2025/12/discord-ray/en</dc:identifier>
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