NVIDIA fVDB: Building AI-Ready Digital Twin of the Real World

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At SIGGRAPH, NVIDIA introduced fVDB, a deep-learning framework for creating high-fidelity 3D representations empowering AI with spatial understanding.

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NVIDIA's fVDB: A Giant Leap for AI

fVDB translates raw data from LiDAR and NeRFs into large-scale AI-compatible virtual environments that can be rendered in real-time.

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How Does fVDB Work?

fVDB's 3D modeling has applications in autonomous vehicles, generative physical AI, climate research, disaster planning, and city infrastructure optimization.

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Potential Applications of fVDB

Compared to previous frameworks, fVDB offers 10x more AI operators, 3.5x faster processing speeds, 4x larger spatial scale, and interoperability.

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fVDB’s Cutting-Edge Features

NVIDIA's fVDB is available via an early access program for its PyTorch extension and will also be available through the OpenVDB GitHub repository.

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Early Access and Integration