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

**URL:** <https://forums.developer.nvidia.com/t/how-full-stack-nim-optimizations-deliver-2-5x-more-users-on-nemotron-3-ultra/382909>\
**Category:** Technical Blog\
**Tags:** nemotron, agentic-ai, nim\
**Created:** [September 10, 2026, 4:55pm UTC](https://forums.developer.nvidia.com/t/how-full-stack-nim-optimizations-deliver-2-5x-more-users-on-nemotron-3-ultra/382909 "2026-09-10T16:55:37Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![jwitsoe](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/jwitsoe/32/16591_2.png) [@jwitsoe](https://forums.developer.nvidia.com/u/jwitsoe)\
**Post date:** [September 10, 2026, 4:55pm UTC](https://forums.developer.nvidia.com/t/how-full-stack-nim-optimizations-deliver-2-5x-more-users-on-nemotron-3-ultra/382909/1 "2026-09-10T16:55:38Z")

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Originally published at: [How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra | NVIDIA Technical Blog](https://developer.nvidia.com/blog/how-full-stack-nim-optimizations-deliver-2-5x-more-users-on-nemotron-3-ultra/)  
   
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…