diff --git a/docs/source/_static/announcements.css b/docs/source/_static/announcements.css
new file mode 100644
index 00000000000..13c1df7e0f6
--- /dev/null
+++ b/docs/source/_static/announcements.css
@@ -0,0 +1,142 @@
+/* Scoped announcement styles for the Sphinx RTD theme. */
+
+#announcements > h1,
+#announcements > p,
+#announcements > .announcement-toolbar,
+#announcements > .announcement-grid,
+#announcements > .announcement-empty,
+#announcements > .announcement-pager,
+#announcements > .toctree-wrapper {
+  max-width: 860px;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.announcement-toolbar {
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+  margin-bottom: 0.35rem;
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+  display: grid;
+  grid-template-columns: minmax(0, 1fr);
+  gap: 1rem;
+  margin: 1rem 0 1.25rem;
+}
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+  border-bottom: 1px solid #d6d8dc;
+  padding: 0 0 1rem;
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+  font-size: 1.2rem;
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+  font-size: 0.85rem;
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+  display: flex;
+  flex-wrap: wrap;
+  gap: 0.35rem;
+}
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+  border: 1px solid #d6d8dc;
+  border-radius: 999px;
+  color: #4b5563;
+  font-size: 0.78rem;
+  padding: 0.15rem 0.45rem;
+}
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+  border-left: 4px solid #76b900;
+  padding-left: 0.75rem;
+}
+
+
+.announcement-pager {
+  align-items: center;
+  display: flex;
+  gap: 0.75rem;
+  justify-content: flex-end;
+  margin: 0 0 2rem;
+}
+
+.announcement-page-button {
+  border: 1px solid #9aa1ad;
+  border-radius: 4px;
+  background: #fff;
+  color: #2f343d;
+  cursor: pointer;
+  padding: 0.35rem 0.7rem;
+}
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+}
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+}
diff --git a/docs/source/_static/announcements.js b/docs/source/_static/announcements.js
new file mode 100644
index 00000000000..be03c9b3bd5
--- /dev/null
+++ b/docs/source/_static/announcements.js
@@ -0,0 +1,105 @@
+document.addEventListener('DOMContentLoaded', () => {
+  const trimAnnouncementPostSidebar = () => {
+    if (!window.location.pathname.includes('/announcements/')) {
+      return;
+    }
+
+    const menu = document.querySelector('.wy-menu-vertical');
+    if (!menu) {
+      return;
+    }
+
+    menu.innerHTML = `
+      <p class="caption" role="heading"><span class="caption-text">Announcements</span></p>
+      <ul>
+        <li class="toctree-l1"><a class="reference internal" href="../index.html">Announcements</a></li>
+        <li class="toctree-l1"><a class="reference internal" href="../reference/1_modelopt_api.html">API Docs</a></li>
+      </ul>
+    `;
+  };
+
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+
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+  const pager = document.querySelector('#announcement-pager');
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+    const pageCount = Math.max(1, Math.ceil(matches.length / pageSize));
+    currentPage = Math.min(currentPage, pageCount);
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+    if (pager && prev && next && status) {
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+      next.disabled = currentPage >= pageCount;
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diff --git a/docs/source/announcements/assets/domino_fig.png b/docs/source/announcements/assets/domino_fig.png
new file mode 100644
index 00000000000..c228a589636
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diff --git a/docs/source/announcements/assets/dspark_domino_al_qwen3_8b.png b/docs/source/announcements/assets/dspark_domino_al_qwen3_8b.png
new file mode 100644
index 00000000000..47d87b54bc3
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diff --git a/docs/source/announcements/assets/dspark_fig1.png b/docs/source/announcements/assets/dspark_fig1.png
new file mode 100644
index 00000000000..d98610a9f79
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diff --git a/docs/source/announcements/assets/dspark_fig7.png b/docs/source/announcements/assets/dspark_fig7.png
new file mode 100644
index 00000000000..1c0947e62b6
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diff --git a/docs/source/announcements/dspark-vs-domino.rst b/docs/source/announcements/dspark-vs-domino.rst
new file mode 100644
index 00000000000..1c11570c3ea
--- /dev/null
+++ b/docs/source/announcements/dspark-vs-domino.rst
@@ -0,0 +1,107 @@
+:orphan:
+
+DSpark vs Domino: Same DFlash Backbone, Different Correction Heads
+##################################################################
+
+:Author: ModelOpt Team
+:Date: June 29, 2026
+:Tags: speculative-decoding, dflash, dspark, domino, architecture
+
+DSpark (DeepSpec) and Domino both build on block-parallel DFlash draft generation but diverge sharply in their token-level correction heads. DSpark uses a stateless VanillaMarkov head that is fast and parallelizable during training; Domino uses a GRU that is more expressive but sequential at inference.
+
+Highlights
+**********
+
+* Both systems share the DFlash block-parallel backbone, so their parallel draft throughput starts from a similar foundation.
+* DSpark defaults to VanillaMarkov: stateless ``W1`` and ``W2`` embedding lookups with no hidden state to thread through.
+* Domino uses ``nn.GRU`` and carries recurrent state across draft positions.
+* Both correction heads are sequential at inference because ``x_{k-1}`` must be sampled before step ``k``.
+* DSpark adds a hardware-aware prefix scheduler through ``confidence_head``; Domino does not include this mechanism.
+
+Shared Foundation: DFlash Block-Parallel Backbone
+*************************************************
+
+Both systems use DFlash: a draft backbone that runs a single causal attention forward pass over all draft positions in parallel, producing per-position hidden states and base draft logits. This is the expensive step; the correction head adds token-level adjustment on top of those outputs.
+
+.. image:: assets/dspark_fig1.png
+   :alt: DSpark overall architecture and decoding cycle
+   :width: 100%
+
+Where They Diverge: The Correction Head
+***************************************
+
+DSpark uses a first-order Markov transition. For each draft position ``k``:
+
+.. code-block:: text
+
+   e_{k-1} = W1[x_{k-1}]
+   bias_k  = W2 * e_{k-1}
+   p_k     = softmax(U_k + bias_k)
+   x_k     ~ p_k
+
+The correction at position ``k`` depends only on ``x_{k-1}``; no RNN hidden state threads across steps. The dominant work is a table lookup and projection rather than a recurrent rollout.
+
+Domino uses a GRU correction head. A recurrent hidden state accumulates information about the draft prefix and is concatenated at readout:
+
+.. code-block:: text
+
+   gru_h_k = GRU(input_k, gru_h_{k-1})
+   p_k     = softmax(U_k + W * [h_k; gru_h_k])
+   x_k     ~ p_k
+
+.. image:: assets/domino_fig.png
+   :alt: Domino pipeline with a DFlash backbone and GRU causal correction head
+   :width: 100%
+
+The figure below compares training acceptance length on Qwen3-8B across the DFlash baseline, Domino GRU, and a DSpark implementation.
+
+.. image:: assets/dspark_domino_al_qwen3_8b.png
+   :alt: Training acceptance length on Qwen3-8B: DFlash baseline vs Domino GRU vs DSpark
+   :width: 100%
+
+Correction Head Overhead
+************************
+
+.. list-table::
+   :header-rows: 1
+
+   * - System
+     - Per-step compute
+     - State carried
+   * - DSpark VanillaMarkov
+     - ``W1[x_{k-1}]`` plus transition projection
+     - None
+   * - Domino GRU
+     - Full GRU cell over a high-dimensional input
+     - Recurrent hidden state
+
+Both heads must unroll left-to-right at inference. The practical difference is per-step cost: VanillaMarkov is much lighter, while the GRU can condition on a richer prefix history.
+
+Additional DSpark Machinery
+***************************
+
+DSpark includes a hardware-aware prefix scheduler through a confidence head. The scheduler estimates acceptance probability and selects how many draft tokens to submit for verification. It is a serving-time throughput optimization, not a draft-quality feature.
+
+For MoE models, DSpark checkpoints also include manifold-constrained Hyper-Connections. Dense models use the simpler backbone plus Markov-head path.
+
+.. image:: assets/dspark_fig7.png
+   :alt: DSpark throughput and TPS Pareto frontier
+   :width: 100%
+
+Takeaways
+*********
+
+#. DFlash draft generation is shared; the correction head is the main differentiator.
+#. VanillaMarkov is cheaper per step than GRU, although both are sequential at inference.
+#. GRU is more expressive, but the extra recurrence may not translate into a large acceptance-rate gain.
+#. DSpark's design is broader: VanillaMarkov, GatedMarkov, and RNN-style heads all fit the same family.
+#. The prefix scheduler affects serving throughput decisions, not correctness.
+
+Links
+*****
+
+* `DeepSpec / DSpark repo <https://github.com/deepseek-ai/DeepSpec>`_
+* `DeepSeek-V4-Pro-DSpark checkpoint <https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-DSpark>`_
+* `Domino repo <https://github.com/jianuo-huang/Domino>`_
+* `Domino checkpoint: Qwen3-8B-Domino-b16 <https://huggingface.co/Huang2020/Qwen3-8B-Domino-b16>`_
+* `ModelOpt PR #1710 <https://github.com/NVIDIA/Model-Optimizer/pull/1710>`_
diff --git a/docs/source/announcements/github-pages-announcements.rst b/docs/source/announcements/github-pages-announcements.rst
new file mode 100644
index 00000000000..191c74dd627
--- /dev/null
+++ b/docs/source/announcements/github-pages-announcements.rst
@@ -0,0 +1,23 @@
+:orphan:
+
+Model Optimizer Announcements Are Moving to GitHub Pages
+#########################################################
+
+:Author: Model Optimizer Team
+:Date: July 13, 2026
+:Tags: release, docs, github-pages
+
+The Model Optimizer GitHub Pages site is expanding from API documentation into a lightweight announcement hub. The goal is to make releases, technical notes, examples, and deployment writeups easier to discover without introducing a separate publishing system.
+
+What Changes
+************
+
+* Announcements live in the documentation source and are reviewed through pull requests.
+* The landing page defaults to announcements.
+* Existing API documentation remains available from the Sphinx left navigation.
+* Announcement pages support tags, search, filtering, and embedded images.
+
+Authoring Flow
+**************
+
+Add a Sphinx page under ``docs/source/announcements/`` and link it from the announcements toctree in ``docs/source/index.rst``. The GitHub Pages workflow rebuilds the static site from committed source, so every announcement follows the same review path as code and docs.
diff --git a/docs/source/conf.py b/docs/source/conf.py
index e4b68ce7643..9f24b299fcb 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -116,7 +116,8 @@
 html_static_path = ["_static"]
 
 html_title = f"Model Optimizer {version}"
-html_css_files = ["custom.css"]
+html_css_files = ["custom.css", "announcements.css"]
+html_js_files = ["announcements.js"]
 html_permalinks_icon = "#"  # default icon not rendering properly
 
 # TODO: left here as reference for future
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 80b27a851df..58577af35ac 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -1,7 +1,52 @@
-Welcome to Model Optimizer (ModelOpt) documentation!
-####################################################
+Announcements
+#############
+
+Release notes, technical updates, examples, and deployment stories from the Model Optimizer team.
+
+.. raw:: html
+
+   <div class="announcement-toolbar">
+     <label class="announcement-search-label" for="announcement-search">Search announcements</label>
+     <input id="announcement-search" class="announcement-search" type="search" placeholder="Search announcements" autocomplete="off" />
+     <div class="announcement-tags" aria-label="Announcement tags">
+       <button class="announcement-tag is-active" type="button" data-tag="all">All</button>
+       <button class="announcement-tag" type="button" data-tag="speculative-decoding">Speculative decoding</button>
+       <button class="announcement-tag" type="button" data-tag="docs">Docs</button>
+       <button class="announcement-tag" type="button" data-tag="github-pages">GitHub Pages</button>
+     </div>
+   </div>
+
+   <div class="announcement-grid" id="announcement-grid">
+     <article class="announcement-card" data-date="2026-07-13" 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">July 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>
+     </article>
+     <article class="announcement-card" data-date="2026-06-29" 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">June 29, 2026 &middot; ModelOpt 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: a stateless VanillaMarkov head versus a GRU.</p>
+       <div class="announcement-card-tags"><span>speculative-decoding</span><span>dflash</span><span>architecture</span></div>
+     </article>
+   </div>
+
+   <p class="announcement-empty" id="announcement-empty" hidden>No announcements match this search.</p>
+   <nav class="announcement-pager" id="announcement-pager" aria-label="Announcement pages" hidden>
+     <button class="announcement-page-button" id="announcement-prev" type="button">Previous</button>
+     <span class="announcement-page-status" id="announcement-page-status"></span>
+     <button class="announcement-page-button" id="announcement-next" type="button">Next</button>
+   </nav>
 
 .. toctree::
+   :hidden:
+   :maxdepth: 1
+   :caption: Announcements
+
+   self
+
+.. toctree::
+   :hidden:
    :glob:
    :maxdepth: 1
    :caption: Getting Started
@@ -18,6 +63,7 @@ Welcome to Model Optimizer (ModelOpt) documentation!
    Quick Start: Sparsity <https://github.com/NVIDIA/Model-Optimizer/tree/main/examples/llm_sparsity>
 
 .. toctree::
+   :hidden:
    :glob:
    :maxdepth: 1
    :caption: Guides
@@ -25,6 +71,7 @@ Welcome to Model Optimizer (ModelOpt) documentation!
    guides/[0-9]*
 
 .. toctree::
+   :hidden:
    :glob:
    :maxdepth: 1
    :caption: Deployment
@@ -32,14 +79,15 @@ Welcome to Model Optimizer (ModelOpt) documentation!
    deployment/[0-9]*
 
 .. toctree::
+   :hidden:
    :glob:
    :maxdepth: 1
    :caption: Examples
 
    examples/[0-9]*
 
-
 .. toctree::
+   :hidden:
    :glob:
    :maxdepth: 1
    :caption: Reference
@@ -47,6 +95,7 @@ Welcome to Model Optimizer (ModelOpt) documentation!
    reference/[0-9]*
 
 .. toctree::
+   :hidden:
    :glob:
    :maxdepth: 1
    :caption: Support