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Search thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
Accelerate custom generative AI app deployment using pre-built containers with optimized AI models.

Displaying 15 results

NVIDIA HPC SDK
NVIDIA
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
PyG
NVIDIA
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
cuOpt
NVIDIA
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
DPSCTL
NVIDIA
NVIDIA Dynamic Power Software (DPS) CLI
Container
Earth-2 FourCastNet 3
NVIDIA
FourCastNet 3 is a probabilistic global weather modeling that uses geometric machine learning.
Model
PhysicsNeMo Checkpoints: AFNO_DX_FI-V1-ERA5
NVIDIA
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 PhysicsNeMo Sym Examples Supplemental Materials
NVIDIA
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
PhysicsNeMo Checkpoints: AFNO_DX_TP-V1-ERA5
NVIDIA
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
PhysicsNeMo Datasets: Stokes Flow
NVIDIA
Stokes flow dataset with parameterized domain
Resource
NVIDIA PhysicsNeMo Examples Supplemental Materials
NVIDIA
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
PhysicsNeMo Checkpoints: AFNO_DX_SR-V1-ERA5
NVIDIA
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
PhysicsNeMo Checkpoints: StormCast-V1-ERA5-HRRR
NVIDIA
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
PhysicsNeMo Checkpoints: AFNO_DX_WG-V1-ERA5
NVIDIA
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
cuOpt
NVIDIA
NVIDIA® cuOpt™ is an open-source, GPU-accelerated engine for decision optimization designed to tackle large-scale problems with millions of variables and constraints.
Collection
DeepStream SDK
NVIDIA
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.
Collection
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