When One GPU Isn’t Enough: Serving GLM-5.3 Across Two NVIDIA DGX Stations with vLLM
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-768x432.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/2026/11/image3-3-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3.webp 1488w" sizes="(max-width: 768px) 100vw, 768px" title="image3" />Running a frontier-scale model locally means keeping all its weights in GPU memory; the largest models no longer fit on one machine. Two NVIDIA DGX Stations...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-768x432.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/2026/11/image3-3-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/11/image3-3.webp 1488w" sizes="auto, (max-width: 768px) 100vw, 768px" title="image3" /><p>Running a frontier-scale model locally means keeping all its weights in GPU memory; the largest models no longer fit on one machine. Two NVIDIA DGX Stations connected over ConnectX-8 RDMA serve one model through a single endpoint, with tensor parallelism splitting the model weights and computation across both GPUs. The NVIDIA GLM-5.3 NVFP4 model, a quantized version of Z.ai’s mixture-of…</p>
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