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    <title>PyPI recent updates for torch-kitsune</title>
    <link>https://pypi.org/project/torch-kitsune/</link>
    <description>Recent updates to the Python Package Index for torch-kitsune</description>
    <language>en</language>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/torch-kitsune/0.7.0/</link>
      <description>Never OOM again. Predict peak GPU memory, max batch size, and cheapest GPU for any PyTorch model — before you run.</description>
<author>jeethkataria9798@icloud.com</author>      <pubDate>Tue, 05 May 2026 12:20:59 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/torch-kitsune/0.6.0/</link>
      <description>Never OOM again. Predict peak GPU memory, max batch size, and cheapest GPU for any PyTorch model — before you run.</description>
<author>jeethkataria9798@icloud.com</author>      <pubDate>Sun, 03 May 2026 14:59:58 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/torch-kitsune/0.5.0/</link>
      <description>Never OOM again. Predict peak GPU memory, max batch size, and cheapest GPU for any PyTorch model — before you run.</description>
<author>jeethkataria9798@icloud.com</author>      <pubDate>Sun, 03 May 2026 14:49:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/torch-kitsune/0.4.0/</link>
      <description>Never OOM again. Predict peak GPU memory, max batch size, and cheapest GPU for any PyTorch model — before you run.</description>
<author>jeethkataria9798@icloud.com</author>      <pubDate>Sun, 03 May 2026 14:22:24 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/torch-kitsune/0.3.0/</link>
      <description>High-performance PyTorch optimization framework: 4x speedup on T4, 45x on Apple Silicon via hardware-specific backends, JIT compilation, and intelligent memory management</description>
<author>jeethkataria9798@icloud.com</author>      <pubDate>Fri, 30 Jan 2026 06:18:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/torch-kitsune/0.1.0/</link>
      <description>CUDA-accelerated dataflow optimizer for PyTorch with zero-copy pooling and kernel fusion</description>
<author>jeeth.kataria@example.com</author>      <pubDate>Thu, 29 Jan 2026 13:14:18 GMT</pubDate>
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