NVIDIA PhysicsNeMo
NVIDIA PhysicsNeMo is a framework for training physics-informed neural networks, enabling simulation and modeling of complex physical systems for scientific and engineering applications.
Use Cases1
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AI Use Cases with NVIDIA PhysicsNeMo
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How MITRE Uses NVIDIA DGX to Power a Federal AI Sandbox
MITRE · Research & Development
300x
Performance increase
300xPerformance increase
Vendor
NVIDIA
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Often Used With
NVIDIA Earth-2
NVIDIA Earth-2 is an open platform for high-resolution weather and climate simulation, enabling AI-powered forecasting at global and regional scales using physics-informed models.
NVIDIA DGX SuperPOD
NVIDIA DGX SuperPOD is a scalable AI supercomputer platform that clusters DGX systems into a unified, high-throughput infrastructure for training large-scale AI models and running multi-modal workloads.
NVIDIA Omniverse
Platform for building and connecting 3D simulation workflows using OpenUSD for industrial digital twins.
Companies
Companies documented using this tool in real use cases.
Vendor
NVIDIA
nvidia.comCompanies
Companies documented using this tool in real use cases.
Get the full context.
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