AI and HPC Containers

Develop and deploy applications faster with GPU-optimized containers from the NVIDIA NGC™ catalog.

What Are Containers?

A container is a portable unit of software that combines the application and all its dependencies into a single package that’s agnostic to the underlying host OS. It removes the need to build complex environments and simplifies the application development-to-deployment process.

The NVIDIA NGC catalog contains a host of GPU-optimized containers for deep learning, machine learning, visualization, and high-performance computing (HPC) applications that are tested for performance, security, and scalability.

Benefits of Containers from the NGC Catalog

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Deploy Easily

Built-in libraries and dependencies allow you to easily deploy and run applications.

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Train Faster

NVIDIA AI containers like TensorFlow and PyTorch provide performance-optimized monthly releases for faster AI training and inference.

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Run Anywhere

Deploy the containers on multi-GPU/multi-node systems anywhere—in the cloud, on premises, and at the edge—on bare metal, virtual machines (VMs), and Kubernetes.

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Deploy with Confidence

Containers are scanned for common vulnerabilities and exposures (CVEs), come with security reports, and are backed by optional enterprise support through NVIDIA AI Enterprise.

Optimized for Performance

NVIDIA-built containers are updated monthly and third-party software is updated regularly to deliver the features needed to extract maximum performance from your existing infrastructure and reduce time to solution.

BERT-Large for Natural Language Processing

BERT-Large leverages mixed precision arithmetic and Tensor Cores on Volta V100 and Ampere A100 GPUs for faster training times while maintaining target accuracy.

BERT-Large and Training performance with TensorFlow on a single node 8x V100 (16GB) & A100 (40GB). Mixed Precision. Batch size for BERT: 3 (V100), 24 (A100)


Explore BERT-Large for PyTorch Explore BERT-Large for TensorFlow

ResNet50 v1.5 for Image Processing

This model is trained with mixed precision using Tensor Cores on Volta, Turing and NVIDIA Ampere GPU architectures for faster training.

ResNet 50 performance with TensorFlow on single-node 8x V100 (16GB) and A100 (40 GB). Mixed Precision. Batch size for ResNet50: 26


Explore ResNet50 for PyTorch Explore ResNet50 for TensorFlow

Matlab for Deep Learning

Continuous development of Matlab’s Deep Learning container improves performance for training and inference

Windows 10, Intel Xeon E5-2623 @2.4GHz, NVIDIA Titan V 12GB GPUs


Explore Matlab

Containers for Diverse Workloads

Get started today by selecting from over 80 containerized software applications and SDKs, developed by NVIDIA and our ecosystem of partners.

AI Containers

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TensorFlow

TensorFlow is an open-source software library for high-performance numerical computation.

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PyTorch

PyTorch is a GPU-accelerated tensor computational framework with a Python front end.

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NVIDIA Triton Inference Server

NVIDIA Triton™ Inference Server is an open-source inference solution that maximizes utilization of and performance on GPUs.

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NVIDIA TensorRT

NVIDIA TensorRT® is a C++ library that facilitates high-performance inference on NVIDIA GPUs.

Application Frameworks

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NVIDIA Clara

NVIDIA Clara™ Train for medical imaging is an application framework with over 20 state-of-the-art pre-trained models, transfer learning and federated learning tools, AutoML, and AI-assisted annotation.

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DeepStream

DeepStream is the streaming analytics toolkit for AI-based video, audio, and image understanding for multi-sensor processing.

NVIDIA nemo ngc catalog lockup

NVIDIA Riva

NVIDIA Riva, is an application framework for multimodal conversational AI services that delivers real-time performance on GPUs.

NVIDIA merlin ngc catalog lockup

HugeCTR

HugeCTR, a component of NVIDIA Merlin™, is a deep neural network training framework that is capable of distributed training across multiple GPUs and nodes for maximum performance.

HPC Containers

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NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems.

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GROMACS

GROMACS is a popular molecular dynamics application used to simulate proteins and lipids.

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RELION

RELION implements an empirical Bayesian approach for analysis of cryogenic electron microscopy (cryo-EM).

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NVIDIA HPC SDK

The NVIDIA HPC SDK is a comprehensive suite of compilers, libraries, and tools for building, deploying, and managing HPC applications.

NGC Catalog Resources

Developer Blogs

Learn how to use the NGC catalog with these step-by-step instructions.



Explore technical blogs

Developer News

Read about the latest NGC catalog updates and announcements.



Read news

GTC Sessions

Watch all the top NGC sessions on demand.



Watch GTC Sessions

Webinars

Walk through how to use the NGC catalog with these video tutorials.



Watch Webinars