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NVIDIA® GVDB Voxels is a new library and SDK for simulation, compute, and rendering of sparse volumetric data. Details on the GVDB technology can be found at


1/29/2020, GVDB Voxels 1.1.1

  • Significantly streamlined CMake build system
  • gImportVDB Linux support
  • Uses surface and texture objects instead of surface and texture references
  • Remove dependency on CUDPP, now using Thrust for radix sorting and reduction
  • Watertight voxelization robustness improvements, using Woop, Benthin, and Wald's watertight rasterization technique and D3D10-style top-left edge rules
  • Remove limitation of 65,535 bricks in UpdateApron and UpdateApronFaces
  • Voxel Size has been removed (i.e. GVDB's world space is now equal to its index space; please use SetTransform to apply your own arbitrary affine transformations)
  • Many bug and formatting fixes (including public contributions)

3/25/2018, GVDB Voxels 1.1

  • Dynamic topology on GPU
  • Multiple contexts and GVDB objects
  • Multiple samples with OptiX support
  • Improved compute and raytrace performance
  • Render from any channel
  • Resampling functions
  • Grid transforms for rendering
  • All limitations in Programming Guide 1.0 addressed

9/19/2017, GVDB Voxels, Incremental fix

5/1/2017, GVDB Voxels, Release 1.0 Created by Rama Hoetzlein, 2017

  • First public release
  • Open source (BSD 3-clause; changed on 2/1/2021 to Apache 2.0)
  • Samples: g3DPrint, gFluidSurface, gInteractiveGL, gInteractiveOptix, gJetsonTX, gRenderKernel, gRenderToFile, gSprayDeposit
  • Builds on Windows and Linux
  • Runs on Quadro, GeForce, JetsonTX1/2, and Tegra/GRID


  • NVIDIA Kepler generation or later GPU
  • CUDA Toolkit 6.5 or higher (Toolkit 10.2 recommended)
  • CMake 3.10 or later

GVDB is released as a library with samples. The library and each sample can be built separately, using CMake.


  • The GVDB Voxels Library
  • Code Samples
    • g3DPrint - Demonstrates generating cross-section slices for 3D printing from a polygonal model.
    • gDepthMap - Renders a polygonal mesh and an emissive volume at the same time using OpenGL and CUDA.
    • gFluidSurface - A dynamic fluid simulation with ray traced surface rendering using GVDB and OptiX.
    • gImportVDB - Loads and ray traces a volume stored in OpenVDB's .vdb format.
    • gInteractiveGL - Interactive rendering of a volume using GVDB and OpenGL.
    • gInteractiveOptix - Interactive ray tracing of a volume and a mesh, with light bouncing between the two.
    • gNanoVDB - Exports a GVDB volume to a NanoVDB volume, then renders it using NanoVDB.
    • gPointFusion - Fuses points from a moving camera into a full 3D volume.
    • gRenderKernel - Rendering without OpenGL using a custom GVDB kernel.
    • gRenderToFile - Rendering a semitransparent object to a file without OpenGL using GVDB.
    • gResample - Imaging of a sparse volume generated from dense data.
    • gSprayDeposit - Demonstrates simulated spray deposition onto a 3D park.
    • gJetsonTX - Simple 3D printing driver for the Jetson TX1/2 with volume slicing on a Tegra chip.
  • The GVDB VBX File Specification
  • GVDB Sample Descriptions
  • The GVDB Programming Guide


All interactive samples use the following user interface:

  • Camera rotation -> move mouse

  • Change orientation -> left mouse click

  • Zoom -> right mouse click

  • Panning -> hold middle button

A few samples have on-screen GUIs with features that can be toggled by clicking on them.

QUICK BUILD PROCESS (Windows and Linux)

Install dependencies

  1. Install CMake 3.10 or later.
  2. Install CUDA Toolkit 10.2 or later.

To build the samples and the library at the same time:

  1. In CMake, configure and generate the build system using gvdb-voxels/CMakeLists.txt, then build the BUILD_ALL target in your IDE (such as Visual Studio).

That's it!

You can also build a specific sample or the GVDB library this way by building its target in this project. Additionally, you can collect a build of GVDB and its samples into a redistributable package by building the INSTALL target.

(Wondering what the GVDB_BUILD_OPTIX_SAMPLES, GVDB_BUILD_OPENVDB, GVDB_BUILD_OPENVDB_SAMPLES, GVDB_BUILD_NANOVDB, and GVDB_BUILD_NANOVDB checkboxes in the CMake GUI do? See "To build the OptiX samples", "To build GVDB with OpenVDB", and "To build the NanoVDB sample" below.)

To build the GVDB Library by itself:

  1. In CMake, configure and generate the build system using gvdb-voxels/source/gvdb_library/CMakeLists.txt, then build the gvdb target.

As above, you can create a redistributable build of the NVIDIA GVDB Voxels library by building the INSTALL target.

To build a sample by itself:

  1. In CMake, configure and generate the build system using gvdb-voxels/source/[your sample name here]/CMakeLists.txt, then build your sample's target.

That's it! In Visual Studio, you can also run a sample by right-clicking it inside Visual Studio, selecting "Set as StartUp Project", and then pressing F5 or clicking the green triangle in the toolbar.

For some samples, you'll see targets named things like gSample, gSampleApp, and gSamplePTX. In this case, you'll want to build and run gSample; the other two targets compile the application and its PTX files, while the gSample target collects everything together.

Building a sample will also automatically build GVDB, so you no longer need to build and install GVDB before building a sample.

To build the OptiX samples:

  1. Install OptiX 6.5 from
  2. On Windows, check GVDB_BUILD_OPTIX_SAMPLES in the CMake GUI, or add -DGVDB_BUILD_OPTIX_SAMPLES=ON to the CMake command line.
  3. On Linux, check GVDB_BUILD_OPTIX_SAMPLES in the CMake GUI, and also add an entry, OPTIX_ROOT_DIR, pointing to the path to the OptiX SDK (the folder containing OptiX's lib64 directory). Or if you're using the CMake command line, add -DGVDB_BUILD_OPTIX_SAMPLES=ON -DOPTIX_ROOT_DIR=<path to OptiX SDK>, replacing <path to OptiX SDK> with the correct path.
  4. Finally, generate and build the CMake project.

To build GVDB with OpenVDB:


  1. Install OpenVDB: On Windows, one of the easiest ways to install OpenVDB is to use Microsoft's vcpkg; install vcpkg, then run vcpkg install openvdb[tools]:x64-windows. Make sure vcpkg is using the same compiler you'll use to compile GVDB!
  2. Work around a temporary issue in vcpkg: If you plan to build GVDB in release mode, go to your vcpkg/installed/x64-windows-debug/bin folder and copy openvdb_d.dll to openvdb.dll. This works around an issue where a build system copies debug-mode openvdb.lib and openvdb.dll to openvdb_d.lib and openvdb_d.dll respectively, but doesn't update the DLL reference in openvdb_d.lib.
  3. Configure CMake:
    1. If you're using the CMake GUI, delete the cache, then click the "Configure" button, specify your generator and platform, check "Specify toolchain file for cross-compiling", and click "Next". Then specify the path to vcpkg/scripts/buildsystems/vcpkg.cmake, and click Finish. Then check GVDB_BUILD_OPENVDB (and if you'd like to build the gImportVDB sample as well, check GVDB_BUILD_OPENVDB_SAMPLES) and click "Configure" again.
    2. If you're using the CMake command line, you can also do this by specifying -DCMAKE_TOOLCHAIN_FILE=<path to vcpkg.cmake> -DGVDB_BUILD_OPENVDB=ON -DGVDB_BUILD_OPENVDB_SAMPLES=ON.
    3. Alternatively, if you're not using vcpkg, you can also specify GVDB_OPENVDB_INCLUDE_DIR, GVDB_OPENVDB_LIB_RELEASE_DIR, GVDB_OPENVDB_LIB_DEBUG_DIR, and GVDB_OPENVDB_DLL_RELEASE_DIR and copy in OpenVDB's DLLs using any method - see gvdb_library/CMakeLists.txt for more information.
  4. Finally, generate and build the CMake project. Now you can run GVDB with OpenVDB!


  1. Install OpenVDB 6.1+: On Linux, we recommend building OpenVDB from source using the instructions on OpenVDB's Developer Quick Start, unless OpenVDB 6.1+ is available through your distro's package manager (6.1 introduced a new CMake build system in OpenVDB that we rely upon). Note that you may have to add -DCMAKE_NO_SYSTEM_FROM_IMPORTED:BOOL=TRUE if you run into OpenVDB Issue 144.
  2. Configure CMake:
    1. If you're using the CMake GUI, check GVDB_BUILD_OPENVDB and GVDB_BUILD_OPENVDB_SAMPLES and click "Configure" again.
    2. If you're using the CMake command line, you can also do this by specifying -DGVDB_BUILD_OPENVDB=ON -DGVDB_BUILD_OPENVDB_SAMPLES=ON.
  3. Finally, generate and build the CMake project. Now you can run GVDB with OpenVDB!

To build the NanoVDB sample:

  1. Download NanoVDB from the OpenVDB repository at Since NanoVDB is a header-only library, there's no need to build OpenVDB.
  2. In CMake, set GVDB_NANOVDB_INCLUDE_DIR to the path to NanoVDB (this folder contains a nanovdb folder which contains NanoVDB.h), set GVDB_BUILD_NANOVDB to ON, and set GVDB_BUILD_NANOVDB_SAMPLES to ON.
  3. Finally, generate and build the CMake project. Now you can run the gNanoVDB sample!



Apache 2.0. Please refer to LICENSE.txt.

Before commit dfcaf6 on February 1st, 2021, GVDB used 3-clause BSD. See #111 for more details.

© 2021 NVIDIA Corporation


Sparse volume compute and rendering on NVIDIA GPUs




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