Nvidia
Nvidia
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Train Physical AI With Real-World Simulations Using fVDB.

Posted

July 29, 2024

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For physical AI to operate in 3D spaces, it must have spatial intelligence—the ability to understand and reason in the real world. Achieving spatial intelligence involves converting the world around us into AI-ready virtual representations that the model can understand. fVDB, developed by NVIDIA, is an open-source deep learning framework for sparse, large-scale, high-performance spatial intelligence. It builds NVIDIA-accelerated AI operators on top of OpenVDB to enable reality-scale simulations for training physical AI.

Read the full blog

Read the fVDB technical blog

WatchIntroducing fVDBDeep Learning Framework for Generative Physical AI with Spatial Intelligence

Apply for the fVDB Early Access Program

Check out the OpenVDB Github

Learn more about fVDB: developer.nvidia.com/fvdb

Guests & Subjects Covered

NVIDIA-accelerated AIAI ReadWatch IntroducingDeep Learning FrameworkGenerative Physical AISpatial Intelligence ApplyEarly Access Program CheckOpenVDB Github Learn

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