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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 26 results

CUDA is a parallel computing platform and programming model that enhances computing performance using NVIDIA GPUs. CUDA Deep Learning integrates networking and GPU-accelerated libraries like cuDNN, cuTensor, NCCL, HPC-x, and the CUDA Toolkit.
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
NVIDIA Magnum IO is the I/O technologies from NVIDIA and Mellanox that enable applications at scale. The Magnum IO Developer Environment container allows developers to begin scaling their applications on a laptop, desktop, workstation, or in the cloud.
Container
The NVIDIA cuQuantum Appliance is a highly performant multi-GPU multi-node solution for quantum circuit simulation.
Container
This is simple RDMA Device Plugin that support IB and RoCE HCA.
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
An SDK (Software Development Kit) for building commercial-grade, AI-native, 3GPP, and O-RAN compliant 5G/6G gNB software on NVIDIA-accelerated computing platforms.
Container
This NIM serves as a demonstration of the potential of foundation models for early stage design evaluation in automotive aerodynamics.
Container
GROMACS
KTH Royal Institute of Technology
GROMACS is a popular molecular dynamics application used to simulate proteins and lipids.
Container
XPlane is a DOCA service for multiplane networking in Spectrum-X and AI network fabrics, delivering high performance and resilient traffic steering automatically.
Container
DPSCTL
NVIDIA
NVIDIA Dynamic Power Software (DPS) CLI
Container
NVIDIA PhysicsNeMo is an open-source framework for building, training, and fine-tuning Physics-ML models. 
Container
Parabricks Umi_Fgbio is a pipeline that processes sequencing reads with molecular barcodes, and provides impressive error correction and increased accuracy using a sequencing consensus read level.
Container
Atomistic Molecular Dynamics NIM with machine learning interatomic potentials.
Container
Atomistic Geometry Optimization/Relaxation NIM with machine learning interatomic potentials.
Container
NAMD
UIUC
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems.
Container
Simulates BMC API for DPS testing.
Helm Chart
This image is not runnable. It contains the source code of the open-source software that DOCA XPlane uses, and is made available to customers for compliance.
Container
FourCastNet 3 is a probabilistic global weather modeling that uses geometric machine learning.
Model
Please add description
Container
Stokes flow dataset with parameterized domain
Resource
DLESyM-V1-ERA5 is an ensemble forecast model for global earth system modeling, including atmosphere and ocean components. The model operates with 6 hour temporal resolution, forecasting 8 atmospheric variables and 1 oceanic variable.
Model
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