Announcements
#############

Release notes, technical updates, examples, and deployment stories from the Model Optimizer team.

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     <article class="announcement-card" data-date="2026-08-13" data-title="Model Optimizer announcements are moving to GitHub Pages" data-summary="The public Model Optimizer site is gaining a PR-updated announcements landing page within the existing Sphinx documentation." data-tags="release docs github-pages">
       <div class="announcement-card-meta">August 13, 2026 &middot; Model Optimizer Team</div>
       <h2><a href="announcements/github-pages-announcements.html">Model Optimizer announcements are moving to GitHub Pages</a></h2>
       <p>The GitHub Pages site now starts with announcements while the existing API documentation remains available in the docs navigation.</p>
       <div class="announcement-card-tags"><span>release</span><span>docs</span><span>github-pages</span></div>
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     <article class="announcement-card" data-date="2026-07-13" data-title="DSpark vs Domino: Same DFlash Backbone, Different Correction Heads" data-summary="DSpark and Domino both build on block-parallel DFlash draft generation but diverge in their token-level correction heads." data-tags="speculative-decoding dflash dspark domino architecture">
       <div class="announcement-card-meta">July 13, 2026 &middot; Model Optimizer Team</div>
       <h2><a href="announcements/dspark-vs-domino.html">DSpark vs Domino: Same DFlash Backbone, Different Correction Heads</a></h2>
       <p>DSpark and Domino share a DFlash backbone but make different correction-head tradeoffs: ModelOpt's <code>vanilla</code> Markov head versus a GRU.</p>
       <div class="announcement-card-tags"><span>speculative-decoding</span><span>dflash</span><span>dspark</span><span>domino</span><span>architecture</span></div>
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   Quick Start: PTQ - PyTorch <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/hf_ptq>
   Quick Start: PTQ - ONNX <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/onnx_ptq>
   Quick Start: PTQ - PyTorch to ONNX <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/torch_onnx>
   Quick Start: PTQ - Windows <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/windows>
   Quick Start: QAT <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/llm_qat>
   Quick Start: Pruning <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/pruning>
   Quick Start: Distillation <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/llm_distill>
   Quick Start: Speculative Decoding <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/speculative_decoding>
   Quick Start: Sparsity <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/llm_sparsity>

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