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Neural Radiance Cache Technique Aims To Make Path Tracing Faster On NVIDIA GPUs Thanks To Tensor Cores And AI - Credit: WCCFtech

Neural Radiance Cache Technique Aims To Make Path Tracing Faster On NVIDIA GPUs Thanks To Tensor Cores And AI

NVIDIA has recently announced a new technique called Neural Radiance Cache (NRC) that promises to make path tracing faster on NVIDIA GPUs. Path tracing is an important rendering technique used in computer graphics, and it can be computationally intensive. NRC uses AI and Tensor Cores to accelerate the process of path tracing by caching intermediate results from previous frames. This means that when a scene is rendered multiple times, the same calculations don’t have to be done over again for each frame.

The idea behind NRC is simple: instead of having to calculate every single pixel in a scene for each frame, only those pixels which have changed need to be calculated. The rest are stored in memory as “cached” values which can then be reused without having to recalculate them each time. This reduces the amount of work needed for each frame, resulting in improved performance and reduced render times overall.

To achieve this acceleration with NRC, NVIDIA leverages its Tensor Core technology along with AI algorithms such as deep learning networks and reinforcement learning agents. These technologies allow the GPU to learn how best to cache certain parts of a scene so they can be quickly retrieved later on when needed again during rendering processes like path tracing or raytracing. In addition, NVIDIA also claims that their new technique will help reduce noise levels while still maintaining high image quality due to its ability to better identify areas where noise could occur within scenes being rendered using path tracing techniques.

Overall, this new Neural Radiance Cache technique looks very promising for improving both speed and image quality when it comes to rendering scenes using path tracing techniques on NVIDIA GPUs thanks largely due its use of AI-based technologies such as deep learning networks and reinforcement learning agents combined with their powerful Tensor Core technology . It remains unclear exactly how much improvement we should expect from this new approach but if all goes according plan we may soon see some impressive gains in terms of both speed and image quality when it comes time render complex 3D environments using these types of techniques on NVIDIA hardware platforms going forward .

|Neural Radiance Cache Technique Aims To Make Path Tracing Faster On NVIDIA GPUs Thanks To Tensor Cores And AI|Technology|WCCFtech

Original source article rewritten by our AI: WCCFtech

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