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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 49 results

PyTorch
NVIDIA
PyTorch is a GPU accelerated tensor computational framework. Functionality can be extended with common Python libraries such as NumPy and SciPy. Automatic differentiation is done with a tape-based system at the functional and neural network layer levels.
Container
vLLM
NVIDIA
vLLM is a fast and easy-to-use library for LLM inference and serving. The NVIDIA vLLM NGC Container is optimized for GPU acceleration, and contains a validated set of libraries that enable and optimize GPU performance.
Container
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
GDRCopy kernel mode driver
Container
NVIDIA Parabricks is an accelerated compute framework that supports applications across the genomics industry, primarily supporting analytical workflows for DNA, RNA, and somatic mutation detection applications.
Container
The NVIDIA cuQuantum Appliance is a highly performant multi-GPU multi-node solution for quantum circuit simulation.
Container
aiperf
NVIDIA
AIPerf is a comprehensive benchmarking tool that measures the performance of generative AI models served by your preferred inference solution. It provides detailed metrics using a command line display as well as extensive benchmark performance reports.
Container
NVIDIA PhysicsNeMo is an open-source framework for building, training, and fine-tuning Physics-ML models.
Container
CUDA-Q
NVIDIA
With a unified and open programming model, CUDA Quantum is a first-of-its-kind, open-source platform for integrated quantum-classical programming
Container
The Dynamic Power Software (DPS) is a project by NVIDIA that aims to make power use and performance better in large datacenters.
Container
This NIM serves as a demonstration of the potential of foundation models for early stage design evaluation in automotive aerodynamics.
Container
DPS-UI
NVIDIA
The Dynamic Power Software (DPS) is a project by NVIDIA that aims to make power use and performance better in large datacenters.
Container
Update Kubernetes pull secrets for registries with custom auth (ex. ECR) for NVCF functions and tasks
Container
DPS-BMC-Simulator
Container
GROMACS
KTH Royal Institute of Technology
GROMACS is a popular molecular dynamics application used to simulate proteins and lipids.
Container
PRS
NVIDIA
The Domain Power Service (DPS) is a project by NVIDIA that aims to make power use and performance better in large datacenters.
Container
LAMMPS
Sandia National Lab
Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) is a software application designed for molecular dynamics simulations.
Container
cp2k
Dr. Ole Schütt - CP2K Foundation
A quantum chemistry and solid state physics software package
Container
openmm
NVIDIA
OpenMM is a high performance toolkit for molecular simulation
Container
NVIDIA PhysicsNeMo is an open-source framework for building, training, and fine-tuning Physics-ML models. 
Container
The Dynamic Power Software (DPS) is a project by NVIDIA that aims to make power use and performance better in large datacenters.
Helm Chart
This is a simulated dataset generated using OpenFOAM. The dataset comprises flow fields such as pressure and wall-shear-stress for different Ahmed body designs and inlet flow speeds.
Resource
Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
Container
Atomistic Geometry Optimization/Relaxation NIM with machine learning interatomic potentials.
Container
1-24 of 49 items

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