Topology-Aware Workload Scheduling with NVIDIA Topograph
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-768x432.webp" 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/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-768x432.webp 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-300x169.webp 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-625x352.webp 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-179x101.webp 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-645x363.webp 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-657x370.webp 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-500x282.webp 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-160x90.webp 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-362x204.webp 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-195x110.webp 195w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-1024x577.webp 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-960x540.webp 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171.webp 1133w" sizes="auto, (max-width: 768px) 100vw, 768px" title="inference-nvidia-dynamo-blog-1280x680" />AI factories are power-limited systems that deliver maximum value when fully optimized. GPU workload placement is a key optimization. Poor workload placement...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-768x432.webp" 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/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-768x432.webp 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-300x169.webp 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-625x352.webp 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-179x101.webp 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-645x363.webp 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-657x370.webp 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-500x282.webp 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-160x90.webp 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-362x204.webp 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-195x110.webp 195w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-1024x577.webp 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171-960x540.webp 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2025/09/inference-nvidia-dynamo-blog-1280x680-1-e1758728822171.webp 1133w" sizes="auto, (max-width: 768px) 100vw, 768px" title="inference-nvidia-dynamo-blog-1280x680" /><p>AI factories are power-limited systems that deliver maximum value when fully optimized. GPU workload placement is a key optimization. Poor workload placement fragments topology domains and forces traffic across shared links, reducing throughput, raising job costs, and leaving GPUs consuming provisioned power while waiting on data without advancing the workload. GPUs exchange data continuously…</p>
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