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@emtien277: #xuhuong #capcut 🌹🌹

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Tuesday 20 October 2026 11:24:00 GMT
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A Developer Got An AI Depth Model Running Entirely On The GPU In Real Time Software engineer Konrad Reczko built a real-time AI depth-estimation system using TypeGPU, demonstrating how machine learning and graphics rendering can work together directly on the GPU. The system estimates depth from a single camera image, helping a computer understand which parts of a scene are closer or farther away. Reczko reported running a 448 × 448 monocular depth model in approximately 8 milliseconds on an Apple M4 Pro. Because the AI inference runs directly through GPU compute, its depth output can feed straight into a lighting pass without leaving the GPU or requiring extra CPU synchronization. That makes it possible to combine AI inference, depth-aware lighting and rendering in a real-time graphics pipeline. The result is more than a depth-map demo. It shows how developers can combine AI and real-time visual effects in the same GPU workflow, opening up possibilities for interactive graphics, visual effects and other applications that need fast scene understanding. ⚠️ DISCLAIMER Video credit: Konrad Reczko (reczko_konrad on X). Copyright belongs to the respective rights holders. No ownership is claimed. If you are the rights holder and want the content removed or credited, please contact us. AI depth estimation, TypeGPU, real-time GPU computing, Apple M4 Pro, AI graphics rendering #AI #GPU #WebGPU #Programming #Technology
A Developer Got An AI Depth Model Running Entirely On The GPU In Real Time Software engineer Konrad Reczko built a real-time AI depth-estimation system using TypeGPU, demonstrating how machine learning and graphics rendering can work together directly on the GPU. The system estimates depth from a single camera image, helping a computer understand which parts of a scene are closer or farther away. Reczko reported running a 448 × 448 monocular depth model in approximately 8 milliseconds on an Apple M4 Pro. Because the AI inference runs directly through GPU compute, its depth output can feed straight into a lighting pass without leaving the GPU or requiring extra CPU synchronization. That makes it possible to combine AI inference, depth-aware lighting and rendering in a real-time graphics pipeline. The result is more than a depth-map demo. It shows how developers can combine AI and real-time visual effects in the same GPU workflow, opening up possibilities for interactive graphics, visual effects and other applications that need fast scene understanding. ⚠️ DISCLAIMER Video credit: Konrad Reczko (reczko_konrad on X). Copyright belongs to the respective rights holders. No ownership is claimed. If you are the rights holder and want the content removed or credited, please contact us. AI depth estimation, TypeGPU, real-time GPU computing, Apple M4 Pro, AI graphics rendering #AI #GPU #WebGPU #Programming #Technology

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