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      <title>Google Cloud Adds Self-Managed VMware Cloud Foundation on Bare Metal</title>
      <link>https://www.infoq.com/news/2026/11/google-cloud-self-managed-vmware/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Hardware</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/google-cloud-self-managed-vmware/en/headerimage/generatedHeaderImage-1793604325753.jpg"/&gt;&lt;p&gt;Google Cloud has made a self-managed VMware solution generally available, running VMware Cloud Foundation 9.x on dedicated Z3 bare metal with root access across ESXi, vCenter and NSX in 22 regions. It sits beside the Google-managed VMware Engine and matches customer-operated offerings from AWS and Oracle, shifting lifecycle, patching and Broadcom licensing back to the customer.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Hardware</category>
      <category>Cloud</category>
      <category>Google Cloud</category>
      <category>Cloud Computing</category>
      <category>Infrastructure</category>
      <category>VMWare</category>
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      <pubDate>Sun, 08 Nov 2026 07:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/google-cloud-self-managed-vmware/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Hardware</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-11-08T07:16:00Z</dc:date>
      <dc:identifier>/news/2026/11/google-cloud-self-managed-vmware/en</dc:identifier>
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      <title>Netflix Treats GPU Reliability as a Distributed Systems Problem</title>
      <link>https://www.infoq.com/news/2026/10/netflix-gpu-distributed-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Hardware</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/netflix-gpu-distributed-systems/en/headerimage/generatedHeaderImage-1792576903003.jpg"/&gt;&lt;p&gt;Netflix has detailed how it is building a reliability platform for large-scale GPU training and inference, using layered health checks, automated remediation, and fault-tolerant training to keep jobs running despite hardware failures.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Hardware</category>
      <category>GPU</category>
      <category>Cloud</category>
      <category>Distributed Systems</category>
      <category>Kubernetes</category>
      <category>AWS</category>
      <category>Netflix</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 30 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/netflix-gpu-distributed-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Hardware</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-10-30T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/netflix-gpu-distributed-systems/en</dc:identifier>
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