Build Local AI Apps with C++ and NVIDIA TensorRT RTX Samples
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-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/din-deploy-featured-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured.webp 1920w" sizes="(max-width: 768px) 100vw, 768px" title="din-deploy-featured" />Adding AI models to local applications requires a portable model format, a reliable runtime, and acceleration that works across target systems. Do Inference Now...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-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/din-deploy-featured-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/09/din-deploy-featured.webp 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="din-deploy-featured" /><p>Adding AI models to local applications requires a portable model format, a reliable runtime, and acceleration that works across target systems. Do Inference Now (DIN) Deploy is an open-source collection of practical C++ samples that bridges that gap. It combines ONNX Runtime with the NVIDIA TensorRT RTX execution provider to help developers move from a model checkpoint to a native…</p>
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