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      <title>Private AI Compute Enables Google Inference with Hardware Isolation and Ephemeral Data Design</title>
      <link>https://www.infoq.com/news/2025/11/google-private-ai-compute-tee/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Google+Compute+Engine</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/11/google-private-ai-compute-tee/en/headerimage/generatedHeaderImage-1763918783103.jpg"/&gt;&lt;p&gt;Google announced Private AI Compute, a system designed to process AI requests using Gemini cloud models while aiming to keep user data private. The announcement positions Private AI Compute as Google's approach to addressing privacy concerns while providing cloud-based AI capabilities, building on what the company calls privacy-enhancing technologies it has developed for AI use cases.&lt;/p&gt; &lt;i&gt;By Vinod Goje&lt;/i&gt;</description>
      <category>Google Compute Engine</category>
      <category>AI Architecture</category>
      <category>Google DeepMind</category>
      <category>AIOps</category>
      <category>Cloud</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Sun, 30 Nov 2025 15:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2025/11/google-private-ai-compute-tee/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Google+Compute+Engine</guid>
      <dc:creator>Vinod Goje</dc:creator>
      <dc:date>2025-11-30T15:34:00Z</dc:date>
      <dc:identifier>/news/2025/11/google-private-ai-compute-tee/en</dc:identifier>
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