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SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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Displaying 15 results
NVIDIA
NVIDIA
NVIDIA HPC SDK
The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries and tools essential to maximizing developer productivity and the performance and portability of HPC applications.
Container
NVIDIA
NVIDIA
PyG
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.
Container
NVIDIA Developer Program
NVIDIA
NVIDIA
cuOpt
NVIDIA® cuOpt™ is an open-source, GPU-accelerated engine for decision optimization designed to tackle large-scale problems with millions of variables and constraints.
Container
NVIDIA
NVIDIA
Earth-2 FourCastNet 3
FourCastNet 3 is a probabilistic global weather modeling that uses geometric machine learning.
Model
NVIDIA
NVIDIA
DPSCTL
NVIDIA Domain Power Service (DPS) CLI
Container
NVIDIA
NVIDIA
PhysicsNeMo Checkpoints: AFNO_DX_FI-V1-ERA5
This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), interpolates a prognostic forecast model to a shorter time-step size (by default from 6 h to 1 h).
Model
NVIDIA
NVIDIA
NVIDIA PhysicsNeMo Sym Examples Supplemental Materials
This contains all the supplemental data for PhysicsNeMo Sym examples. This includes validation data, training data, large CSV/STLs, etc. For the python scripts, please refer https://github.com/nvidia/physicsnemo-sym
Resource
NVIDIA
NVIDIA
PhysicsNeMo Checkpoints: AFNO_DX_TP-V1-ERA5
This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), predicts 6-hour accumulated surface precipitation given 20 atmospheric variables plus invariants.
Model
NVIDIA
NVIDIA
PhysicsNeMo Datasets: Stokes Flow
Stokes flow dataset with parameterized domain
Resource
NVIDIA
NVIDIA
NVIDIA PhysicsNeMo Examples Supplemental Materials
This contains all the supplemental data for PhysicsNeMo examples. This includes files apart from the actual dataset required for training. For the python scripts, please refer https://github.com/nvidia/physicsnemo
Resource
NVIDIA
NVIDIA
PhysicsNeMo Checkpoints: AFNO_DX_SR-V1-ERA5
This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), predicts 6-hour accumulated surface solar irradiance given 24 atmospheric variables plus invariants.
Model
NVIDIA
NVIDIA
PhysicsNeMo Checkpoints: StormCast-V1-ERA5-HRRR
StormCast-V1-ERA5-HRRR is a mesoscale machine learning AI model that autoregressively predicts 99 state variables at km scale using a 1-hour time step, with dense vertical resolution in the atmosphere boundary layer.
Model
NVIDIA
NVIDIA
PhysicsNeMo Checkpoints: AFNO_DX_WG-V1-ERA5
This deep learning model, based on the Adaptive Fourier Neural Operator framework (AFNO), predicts 6-hour maximum 3-second wind gusts given 20 atmospheric variables plus invariants.
Model
Collection
NVIDIA Developer Program
NVIDIA
NVIDIA
cuOpt
NVIDIA® cuOpt™ is an open-source, GPU-accelerated engine for decision optimization designed to tackle large-scale problems with millions of variables and constraints.
11
Collection
NVIDIA
NVIDIA
DeepStream SDK
NVIDIA DeepStream SDK enables developers to build accelerated pipelines for a wide range of use-cases such as IVA, retail, industrial inspection, and many more with minimal development effort.
2273

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