NVIDIA NVLink Fusion Brings NVHBM to Next-Generation AI Infrastructure
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-768x432.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Decorative image." style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-625x352.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-1536x864.jpg 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-196x110.jpg 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-960x540.jpg 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM.webp 1920w" sizes="(max-width: 768px) 100vw, 768px" title="NVHBM" />AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads,...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-768x432.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="Decorative image." 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/2026/08/NVHBM-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-625x352.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-1536x864.jpg 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-196x110.jpg 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM-960x540.jpg 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/NVHBM.webp 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="NVHBM" /><p>AI factories must support increasingly large models and more complex reasoning workloads. To keep up with the insatiable compute demands of AI workloads, hyperscalers and AI-native companies are developing custom AI accelerators, or XPUs. Deploying these accelerators at scale requires high-bandwidth memory (HBM) to keep compute fed, sufficient package and silicon area for more compute…</p>
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