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-      <div class="brand">NVIDIA <span>DYNAMO</span></div>
-      <p class="eyebrow">OPEN-SOURCE INFERENCE FRAMEWORK</p>
-      <h1>Serve generative AI at scale.</h1>
-      <p class="summary">NVIDIA Dynamo is a low-latency, modular inference framework for serving generative AI models in distributed environments. It scales workloads across GPU fleets with intelligent scheduling, request routing, optimized memory management, and data transfer.</p>
-      <div class="actions">
-        <a class="button primary" href="https://github.com/ai-dynamo/dynamo" target="_blank" rel="noopener noreferrer">View on GitHub</a>
-        <a class="button secondary" href="https://docs.nvidia.com/dynamo/latest/" target="_blank" rel="noopener noreferrer">Documentation</a>
-      </div>
-      <section class="capabilities" aria-label="Dynamo capabilities">
-        <div>
-          <h2>Distributed serving</h2>
-          <p>Deploy and scale inference across GPU fleets.</p>
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-          <h2>Disaggregated inference</h2>
-          <p>Independently optimize prefill and decode workloads.</p>
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-          <h2>Open ecosystem</h2>
-          <p>Works with SGLang, TensorRT-LLM, and vLLM.</p>
-        </div>
-      </section>
-      <p class="footer">Source code, examples, and project updates: <a href="https://github.com/ai-dynamo" target="_blank" rel="noopener noreferrer">github.com/ai-dynamo</a></p>
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+      <h1>NVIDIA Dynamo</h1>
+      <p><strong>Open-source, low-latency inference for generative AI.</strong></p>
+      <p>NVIDIA Dynamo is a modular inference framework for serving generative AI models in distributed environments. It scales workloads across GPU fleets with intelligent resource scheduling, request routing, optimized memory management, and data transfer.</p>
+      <p><a href="https://github.com/ai-dynamo/dynamo" target="_blank" rel="noopener noreferrer">GitHub repository</a> · <a href="https://docs.nvidia.com/dynamo/latest/" target="_blank" rel="noopener noreferrer">Documentation</a></p>
+      <hr>
+      <h2>Built for production inference</h2>
+      <ul>
+        <li><strong>Distributed serving:</strong> Deploy and scale inference across GPU fleets.</li>
+        <li><strong>Disaggregated inference:</strong> Independently optimize prefill and decode workloads.</li>
+        <li><strong>Open ecosystem:</strong> Works with SGLang, TensorRT-LLM, and vLLM.</li>
+      </ul>
+      <p><strong>Datasets and evaluation:</strong> This organization publishes Dynamo-related datasets and reproducible evaluation fixtures.</p>
+      <p>More source code, examples, and project updates: <a href="https://github.com/ai-dynamo" target="_blank" rel="noopener noreferrer">github.com/ai-dynamo</a></p>
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