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    <title>ONNX Runtime — USASI news</title>
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    <description>Dated, sourced news items in the USASI catalog that mention ONNX Runtime. Independent project. Not a United States government website.</description>
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    <lastBuildDate>Tue, 13 Oct 2026 12:00:00 GMT</lastBuildDate>
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      <title>ONNX Runtime CUDA Plugin EP 0.3.0 adds sparse attention and INT2 QMoE support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/onnx-runtime-cuda-plugin-ep-0-3-0-released/</link>
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      <pubDate>Mon, 12 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 9, 2026 Microsoft published version 0.3.0 of the ONNX Runtime CUDA Plugin EP on the ONNX Runtime GitHub repository. This is a separate release from ONNX Runtime 1.31.0, which the notes give as the matched core version. The release notes list sparse attention and packed continuous-batching support, INT2 and mixed-width QMoE execution, new QSA/CSA attention operators, expanded paged speculative decoding, and opt-in MatMul auto-tuning. The notes warn that the core and the plugin must use the same contributed-operator schemas and recommend building both from the same ONNX Runtime revision. USASI has not tested this release.</description>
    </item>
    <item>
      <title>ONNX Runtime 1.31.0 released with stable model-package and EPContext data APIs</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/onnx-runtime-1-31-0-released/</link>
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      <pubDate>Fri, 09 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>On October 9, 2026 Microsoft published ONNX Runtime 1.31.0 on GitHub. The release notes say the model-package API and EPContext data callbacks were promoted to stable C and C++ APIs, and that CoreML can now take part in device-based execution-provider selection, including Apple Neural Engine selection through PREFER_NPU. The notes also announce that the ACL execution provider is deprecated, that out-of-range indices in GatherBlockQuantized now produce zero output slices, and that supported native builds now default to 1DS telemetry, which can be disabled with --no_telemetry. The ONNX dependency stays at 1.22.0. USASI has not tested these changes.</description>
    </item>
    <item>
      <title>ONNX Runtime 1.30.0 adds Go bindings and expands CUDA and WebGPU generative AI support</title>
      <link>https://unitedstatesofamericasuperintelligence.com/news/onnx-runtime-1-30-0-released/</link>
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      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <category>release</category>
      <description>Microsoft's ONNX Runtime project published version 1.30.0 on GitHub on September 10, 2026. The release notes highlight Go bindings for the ONNX Runtime C API, expanded CUDA inference support including speculative decoding in paged XQA and INT4 paged KV caches, WebGPU PagedAttention improvements with GPT-OSS support, and fused CPU LinearAttention kernels for AVX-512, Arm64 NEON, and SVE. The notes say FP4 QMoE kernels are now enabled by default in CUDA builds, and they list hardening of model loading and input validation. USASI has not tested this release.</description>
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