How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra

<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-768x432.jpg" 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/2026/09/image4_1480x833-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-625x352.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-195x110.jpg 195w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-960x540.jpg 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833.webp 1480w" sizes="(max-width: 768px) 100vw, 768px" title="image4_1480x833" />Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-768x432.jpg" 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/2026/09/image4_1480x833-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-625x352.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-195x110.jpg 195w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833-960x540.jpg 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image4_1480x833.webp 1480w" sizes="auto, (max-width: 768px) 100vw, 768px" title="image4_1480x833" /><p>Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as possible on available GPU infrastructure while preserving the interactivity that keeps applications responsive. That tradeoff matters even more for agentic AI workloads, where prompts can be long, context can be reused across steps…</p> <p><a href="https://developer.nvidia.com/blog/how-full-stack-nim-optimizations-deliver-2-5x-more-users-on-nemotron-3-ultra/" rel="nofollow" data-wpel-link="internal" target="_self">Source</a></p>