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    <title>PyTorch Foundation — USASI news</title>
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    <description>Dated, sourced news items in the USASI catalog that mention PyTorch Foundation. Independent project. Not a United States government website.</description>
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    <lastBuildDate>Mon, 19 Oct 2026 12:00:00 GMT</lastBuildDate>
    <item>
      <title>vLLM 0.32.0 released with a structured decisions endpoint and wider low-precision KV cache support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/vllm-0-32-0-released/</link>
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      <pubDate>Mon, 19 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 18, 2026 the vLLM project published version 0.32.0 on GitHub. The release notes highlight a new POST /v1/systemone endpoint that answers choice, noul and score questions over a structured state, and a new hf tool and reasoning parser that reads a checkpoint's response_template so models that ship it need no model-specific parser. The notes also describe NVFP4 KV cache support on more GPU architectures and new model support, including EmbeddingGemma 2, MiniCPM-V 4.7 and Nemotron 3.5 ASR. Under security, they list fixes for three advisories and say CORS no longer allows every origin by default; breaking changes include dropping Python 3.10 and removing cascade attention. USASI has not tested any of these changes.</description>
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      <title>vLLM 0.31.0 released with a preload command for faster engine restarts</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/vllm-0-31-0-released/</link>
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      <pubDate>Tue, 06 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 5, 2026 the vLLM project published version 0.31.0 on GitHub. The release notes highlight a new vllm preload command that launches a weight-cache daemon to keep post-quantized weights in GPU memory across engine restarts, and experimental engine snapshots (vllm snapshot create/restore) that use CRIU to restore a fully initialized TP1 engine. Under security, the notes say per-request mm_processor_kwargs and media_io_kwargs are now rejected unless --trust-request-mm-kwargs is set. The release also lists breaking changes, including the removal of tokenizer_mode=&quot;slow&quot;, and performance work for DeepSeek-V4.1-Flash. USASI has not tested any of these changes.</description>
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    <item>
      <title>PyTorch 2.14.0 released with torch.switch, NVGEMM in Inductor, and a preview NCCL backend rewrite</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/pytorch-2-14-0-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>PyTorch 2.14.0 was published on GitHub on September 2, 2026. The release notes highlight NVGEMM, which brings CuTeDSL-generated CUTLASS kernels to Inductor, and torch.switch, which generalizes torch.cond to multi-way branching. Other highlights include declarative dynamic shapes via @dynamic_spec, experimental torch.compile support for complex-valued tensors, a preview of a rewritten NCCL backend ported from torchcomms, and native linear algebra on Apple Silicon. The notes also say Inductor now targets Rubin (sm_107). USASI has not tested this release.</description>
    </item>
    <item>
      <title>PyTorch 2.13.0 released with FlexAttention on Apple Silicon and the torchcomms backend</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/pytorch-2-13-0-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>PyTorch 2.13.0 was published on GitHub on July 8, 2026. The release notes highlight FlexAttention support on Apple Silicon (MPS) and a deterministic FlexAttention backward path on CUDA, a prototype CuTeDSL &quot;Native DSL&quot; backend for Inductor alongside Triton, and nn.LinearCrossEntropyLoss, which combines the final prediction and loss computation to reduce peak GPU memory. They also introduce torchcomms, a new communications backend for PyTorch Distributed, and Python 3.15 wheels on Linux, while dropping free-threaded CPython 3.13t binaries and Bazel build support. USASI has not tested this release.</description>
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