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    <title>PyPI recent updates for gpulayer</title>
    <link>https://pypi.org/project/gpulayer/</link>
    <description>Recent updates to the Python Package Index for gpulayer</description>
    <language>en</language>    <item>
      <title>0.8.1</title>
      <link>https://pypi.org/project/gpulayer/0.8.1/</link>
      <description>Train PyTorch on every GPU you can reach: one Trainer, from your laptop to many machines. NVIDIA CUDA, Apple Metal and CPU; self-hosted, open source.</description>
      <pubDate>Sun, 01 Nov 2026 11:54:25 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/gpulayer/0.8.0/</link>
      <description>Train PyTorch on every GPU you can reach: one Trainer, from your laptop to many machines. NVIDIA CUDA, Apple Metal and CPU; self-hosted, open source.</description>
      <pubDate>Sun, 01 Nov 2026 09:25:37 GMT</pubDate>
    </item>    <item>
      <title>0.7.1</title>
      <link>https://pypi.org/project/gpulayer/0.7.1/</link>
      <description>Train PyTorch on every GPU you can reach: one Trainer, from your laptop to many machines. NVIDIA CUDA, Apple Metal and CPU; self-hosted, open source.</description>
      <pubDate>Sat, 31 Oct 2026 20:55:47 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/gpulayer/0.7.0/</link>
      <description>Train PyTorch on every GPU you can reach: one Trainer, from your laptop to many machines, faster than Lightning. NVIDIA CUDA, Apple Metal and CPU.</description>
      <pubDate>Sat, 31 Oct 2026 20:26:10 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/gpulayer/0.6.0/</link>
      <description>Run any workload on every GPU (and CPU) you can reach: job orchestration across local, remote and cloud machines, distributed PyTorch, a web dashboard and an MCP server for AI agents.</description>
      <pubDate>Sat, 31 Oct 2026 19:26:16 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/gpulayer/0.5.0/</link>
      <description>Run any workload on every GPU (and CPU) you can reach: job orchestration across local, remote and cloud machines, distributed PyTorch, a web dashboard and an MCP server for AI agents.</description>
      <pubDate>Fri, 30 Oct 2026 19:37:37 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/gpulayer/0.4.0/</link>
      <description>Run any workload on every GPU and CPU you can reach: job orchestration across local, remote and cloud machines, distributed PyTorch, a web dashboard and an MCP server for AI agents.</description>
      <pubDate>Fri, 30 Oct 2026 16:58:42 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/gpulayer/0.3.0/</link>
      <description>Run any workload on every GPU and CPU you can reach: job orchestration across local, remote and cloud machines, distributed PyTorch, a web dashboard and an MCP server for AI agents.</description>
      <pubDate>Fri, 30 Oct 2026 14:19:58 GMT</pubDate>
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