NanoVDB – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-19T21:31:15Z http://www.open-lab.net/blog/feed/ Ken Museth <![CDATA[Optimizing Large-Scale Sparse Volumetric Data with NVIDIA NeuralVDB Early Access]]> http://www.open-lab.net/blog/?p=58998 2023-01-12T20:22:12Z 2023-01-09T20:20:04Z Building on the past decade��s development of OpenVDB, the introduction of NVIDIA NeuralVDB is a game-changer for developers and researchers working with...]]> Building on the past decade��s development of OpenVDB, the introduction of NVIDIA NeuralVDB is a game-changer for developers and researchers working with...

Building on the past decade��s development of OpenVDB, the introduction of NVIDIA NeuralVDB is a game-changer for developers and researchers working with extremely large and complex datasets. The pre-release version of NVIDIA NeuralVDB brings AI and GPU optimization to OpenVDB, delivering up to a 100x reduction in memory footprint for smoke, clouds, and other sparse volumetric data.

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Wil Braithwaite <![CDATA[Accelerating OpenVDB on GPUs with NanoVDB]]> http://www.open-lab.net/blog/?p=19804 2022-08-21T23:40:34Z 2020-08-20T15:58:33Z OpenVDB is the Academy Award�Cwinning, industry standard library for sparse dynamic volumes. It is used throughout the visual effects industry for simulation...]]> OpenVDB is the Academy Award�Cwinning, industry standard library for sparse dynamic volumes. It is used throughout the visual effects industry for simulation...Walt Disney Animation Studio's cloud openvdb dataset rendered on the GPU using nanovdb

OpenVDB is the Academy Award�Cwinning, industry standard library for sparse dynamic volumes. It is used throughout the visual effects industry for simulation and rendering of water, fire, smoke, clouds, and a host of other effects that rely on sparse volume data. The library includes a hierarchical, dynamic data structure and a suite of tools for the efficient storage and manipulation of sparse��

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