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    <title>InfoQ - Performance - News</title>
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    <description>InfoQ Performance News feed</description>
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      <title>Cloudflare Measures Origin TLS Preferences, Cutting Handshake Retries from 52% to 3.7%</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-automatic-key-exchang/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Performance-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/cloudflare-automatic-key-exchang/en/headerimage/generatedHeaderImage-1789633148686.jpg"/&gt;&lt;p&gt;Cloudflare has replaced its static X25519 guess for origin TLS handshakes with per-origin measurement. HelloRetryRequests on scanned origins fell from roughly 52% to 3.7%, removing over 150 ms from p90 latency. Post-quantum connections completing in one round trip rose from 0% to 99.2%, though only 12.8% of origins support it.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Performance</category>
      <category>Cryptography</category>
      <category>Infrastructure</category>
      <category>Networking</category>
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      <category>Architecture &amp; Design</category>
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      <pubDate>Sun, 20 Sep 2026 08:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-automatic-key-exchang/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Performance-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-20T08:15:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-automatic-key-exchang/en</dc:identifier>
    </item>
    <item>
      <title>Lambda SnapStart Comes to Container Images, Ending a Packaging Tradeoff</title>
      <link>https://www.infoq.com/news/2026/09/lambda-snapstart-container-image/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Performance-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/lambda-snapstart-container-image/en/headerimage/generatedHeaderImage-1789052932475.jpg"/&gt;&lt;p&gt;AWS has extended Lambda SnapStart to container image functions, which hold up to 10 GB against 250 MB for zip archives. Teams previously chose between dependency headroom and sub-second startup. A Reddit thread from a month earlier shows what that cost: stripping whitespace and docstrings from installed packages to stay under the limit.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Serverless</category>
      <category>AWS Lambda</category>
      <category>Cloud</category>
      <category>AWS</category>
      <category>Containers</category>
      <category>Performance</category>
      <category>Architecture</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 12 Sep 2026 10:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/lambda-snapstart-container-image/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Performance-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-12T10:09:00Z</dc:date>
      <dc:identifier>/news/2026/09/lambda-snapstart-container-image/en</dc:identifier>
    </item>
    <item>
      <title>NVIDIA Personal AI Router Distributes AI Tasks across Local Compute</title>
      <link>https://www.infoq.com/news/2026/09/nvidia-pair-ai-task-router/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Performance-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/nvidia-pair-ai-task-router/en/headerimage/nvidia-ingest-1789135586036.jpeg"/&gt;&lt;p&gt;NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and automatically distribute AI requests among them. It is primarily designed for local multi-agent AI workloads, where multiple independent model calls can otherwise overwhelm one GPU.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Orchestration</category>
      <category>GPU</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>Performance</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/nvidia-pair-ai-task-router/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Performance-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-11T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/nvidia-pair-ai-task-router/en</dc:identifier>
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