Benchmarking LLM Inference at Scale with AIPerf

<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-768x432.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/2026/09/image3-10-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-195x110.png 195w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10.webp 1999w" sizes="(max-width: 768px) 100vw, 768px" title="image3" />You’re deploying a model on a system. It starts up, prompts are getting responses. Now the hard question: Is this fast? Your instincts might lead you to send...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-768x432.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/2026/09/image3-10-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-195x110.png 195w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/image3-10.webp 1999w" sizes="auto, (max-width: 768px) 100vw, 768px" title="image3" /><p>You’re deploying a model on a system. It starts up, prompts are getting responses. Now the hard question: Is this fast? Your instincts might lead you to send curl commands, hand-roll an asyncio script, or vibe code yet another one-off load generator. All of these paths have the same problem: single-process performance limits, Python’s GIL capping concurrency, or numbers measured against a…</p> <p><a href="https://developer.nvidia.com/blog/benchmarking-llm-inference-at-scale-with-aiperf/" rel="nofollow" data-wpel-link="internal" target="_self">Source</a></p>