NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding

<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11.webp 1920w" sizes="(max-width: 768px) 100vw, 768px" title="image4" />Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4-11.webp 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="image4" /><p>Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware knowledge, precise reasoning, and repeated interaction with electronic design automation (EDA) tools. LLMs have accelerated code generation, and AI agents extend their impact by using verification feedback to iteratively correct errors.</p> <p><a href="https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-leads-open-models-on-accuracy-and-efficiency-in-agentic-rtl-coding/" rel="nofollow" data-wpel-link="internal" target="_self">Source</a></p>