NVIDIA NGC

A portal of enterprise services, software, and support for AI, digital twins, and high-performance computing.

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What Is NGC?

NVIDIA NGC™ is the portal of enterprise services, software, management tools, and support for end-to-end AI and digital twin workflows. Bring your solutions to market faster with fully managed services, or take advantage of performance-optimized software to build and deploy solutions on your preferred cloud, on-prem, and edge systems.

Enterprise Cloud Services

Enterprise Cloud Services

NGC offers a collection of cloud services, including NVIDIA NeMo™ service, BioNeMo™ service, and Riva Studio for Generative AI, drug discovery, and speech AI solutions, and the NGC Private Registry for securely sharing proprietary AI software.

NGC Catalog: GPU-Optimized Software Hub for AI, Digital Twins, and HPC

The NGC catalog provides access to GPU-accelerated software that speeds up end-to-end workflows with performance-optimized containers, pretrained AI models, and industry-specific SDKs that can be deployed on premises, in the cloud, or at the edge.

Explore the NGC Catalog
 

Simplify and Accelerate Your Development

Get the Optimized Performance

AI framework and SDK containers are constantly optimized and released on a monthly basis to deliver faster time to solution.

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Pretrained Models to Build AI Faster

State-of-the-art pretrained models help you build custom models faster for computer vision, speech AI, and more.

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Simplify With Jupyter Notebooks

Hundreds of Jupyter Notebooks let you understand, customize, test, and build models faster, while taking advantage of best practices.

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Build With Secure Software

Containers undergo monthly security scans, and detailed reports are provided to ensure containers meet your company’s security policy.

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A Platform for All Use Cases

From HPC to conversational AI to medical imaging to recommender systems and more, NGC Collections offer ready-to-use containers, pretrained models, SDKs, and Helm charts for diverse use cases and industries—in one place—to speed up your application development and deployment process.

Deep learning models for Language Modelling

Language Modeling

Language modeling is a natural language processing (NLP) task that determines the probability of a given sequence of words occurring in a sentence.

View Language Modeling Collection
Recommender systems are a type of information filtering system

Recommender Systems

Recommender systems are a type of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item.

View Recommender Systems Collection
Image segmentation is the field of image processing

Image Segmentation

Image segmentation is the field of image processing that deals with separating an image into multiple subgroups or regions that represent distinctive objects or subparts.

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Machine translation is the task of translating text from one language to another

Translation

Machine translation is the task of translating text from one language to another.

View Translation Collection
Object detection refers to identifying which objects are in an image

Object Detection

Object detection is about, not only detecting the presence and location of objects in images and videos, but also categorizing them into everyday objects.

View Object Detection Collection
Automatic speech recognition refers to transcribing customer interactions into text

ASR

Automatic speech recognition (ASR) systems include giving voice commands to an interactive virtual assistant, converting audio to subtitles on an online video, and more.

View ASR Collection
Speech synthesis or text-to-speech produces human speech from transcripts.

Text-to-Speech

Speech synthesis or text-to-speech is the task of artificially producing human speech from raw transcripts. Text-to-speech models are used when a mobile device converts text on a webpage to speech.

View Speech Synthesis Collection
High performance computing fuels the advancement of computer science

HPC

High-performance computing (HPC) is one of the most essential tools fueling the advancement of computational science, and that universe of scientific computing has expanded in all directions.

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Supercharge Your Production AI

NVIDIA AI Enterprise is an end-to-end, secure, cloud-native suite of AI software that enables organizations to solve new challenges while increasing operational efficiency.

Integrated and Validated

Trustworthy AI

Take advantage of software containers that are scanned monthly to reduce security concerns and AI models that  provide details around bias, explainability, safety, security, and privacy.

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AI Solution Workflows

AI Workflows

Accelerate time to production with assembled solutions that include AI frameworks, pretrained models, Helm charts, Jupyter Notebooks, and more.

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Enterprise Support, Security and API Stability

Enterprise Support

Build AI solutions and manage the lifecycle of AI applications with global enterprise support that ensures your business-critical projects stay on track.

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Run Anywhere with Confidence

Software from the NGC catalog runs on bare-metal servers, Kubernetes, or on virtualized environments and can be deployed on premises, in the cloud, or at the edge—maximizing utilization of GPUs, portability, and scalability of applications. Users can manage the end-to-end AI development lifecycle with NVIDIA Base Command.

NGC catalog software runs on a wide variety of NVIDIA GPU-accelerated platforms

On Premises

NGC catalog software runs on a wide variety of NVIDIA GPU-accelerated platforms, including NVIDIA-Certified Systems™, NVIDIA DGX™ systems, NVIDIA TITAN- and NVIDIA RTX™-powered workstations, and virtualized environments with NVIDIA AI Enterprise.

NGC catalog on GPU-powered

In the Cloud

Software from the NGC catalog can be deployed on GPU-powered instances. The software can be deployed directly on virtual machines (VMs) or on Kubernetes services offered by major cloud service providers (CSPs). NVIDIA AI software makes it easy for enterprises to develop and deploy their solutions in the cloud.

NGC catalog can be deployed on Kubernetes based Edge systems

At the Edge

As computing expands beyond data centers and to the edge, the software from NGC catalog can be deployed on Kubernetes-based edge systems for low-latency, high-throughput inference. Securely deploy, manage, and scale AI applications from NGC across distributed edge infrastructure with NVIDIA Fleet Command™.

Create AI Applications Faster with NVIDIA TAO

NVIDIA TAO is a framework to train, adapt and optimize AI models that eliminates the need for large training sets and deep AI expertise, simplifying the creation of enterprise AI applications and services.

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Building Blocks for GPU-Accelerated Applications

The NGC software catalog provides a range of resources that meet the needs of data scientists, developers, and researchers with varying levels of expertise, including containers, pretrained models, domain-specific SDKs, use case-based collections, and Helm charts for the fastest AI implementations.

  • COLLECTIONS
  • CONTAINERS
  • MODELS
  • JUPYTER NOTEBOOKS
  • HELM CHARTS
  • INDUSTRY SOLUTIONS
NGC catalog offers ready to use Collections for various applications

Build AI Solutions Faster with All of the Software You Need

Collections makes it easy to discover the compatible framework containers, models, Juptyer notebooks, and other resources to get started in AI faster. The respective collections also provide detailed documentation to deploy the content for specific use cases.

NGC catalog offers ready-to-use collections for various applications, including NLP, ASR, intelligent video analytics, and object detection.

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NGC containers provide powerful and easy-to-deploy software

Deploy and Run Workloads Faster with Containers

The NGC catalog hosts containers for the top AI and data science software, tuned, tested, and optimized by NVIDIA. Fully tested containers for HPC applications and data analytics are also available, allowing users to build solutions from a tested framework with complete control.

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NGC catalog offers pre-trained models for a variety of common AI tasks

Accelerate Your AI Projects With Pretrained Models

Get a head start with pre-trained models, detailed code scripts with step-by-step instructions, and helper scripts for a variety of common AI tasks that are optimized for NVIDIA Tensor Core GPUs. Models can be easily retrained by updating just a few layers, saving valuable time. Each model comes with a model resume that provides details on the data set used to train the model, includes detailed documentation, and also states its limitations.

View Models
NGC catalog offers Jupyter notebooks for a variety of common AI use cases

Kickstart Your AI Projects with Jupyter Notebooks

The NGC catalog hosts tutorial Jupyter notebooks for a variety of use cases—including computer vision, natural language processing, and recommendation—to give developers a head start in building AI models. It also provides the flexibility to modify the notebooks and build custom solutions.

Containers, models, and SDKs from the NGC catalog can be deployed on a managed Jupyter Notebook service with a single click.

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NVIDIA GPU Operator Helm chart is a suite of NVIDIA drivers

Automate Deployments with Helm Charts

Helm charts automate software deployment on Kubernetes clusters. The NGC catalog hosts Kubernetes-ready Helm charts that make it easy to consistently and secure deploy both NVIDIA and third-party software.

NVIDIA GPU Operator is a suite of NVIDIA drivers, container runtime, device plug-in, and management software that IT teams can install on Kubernetes clusters to give users faster access to run their workloads.

View Helm Registry
NVIDIA DeepStream SDK for Intelligent Video Analytics

Deliver Solutions Faster with Ready-to-Deploy AI Workflows

The NGC catalog features NVIDIA TAO Toolkit, NVIDIA Triton™ Inference Server, and NVIDIA TensorRT™ to enable deep learning application developers and data scientists to re-train deep learning models and easily optimize and deploy them for inference.

Explore Industry Application Frameworks

Customer Stories

DeepZen creating human-like speech with NGC containers

DeepZen

Learn how DeepZen, an AI​ company focused on human-like speech with emotions, leverages the NGC catalog to automate processes such as audio recordings and voiceovers. 

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Neurala accelerating AI video annotation with NGC containers

Neurala

Learn how AI​ startup Neurala speeds up deep learning​ training and inference for their Brain Builder platform by 8X.

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HPC administrators support GPU-optimized containers

Clemson University

Learn how Clemson University’s HPC administrators support GPU-optimized containers to help scientists accelerate research.

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University of Arizona creating the 3D point clouds directly on the drone.

University of Arizona

Learn how the University of Arizona employs containers from the NGC catalog to accelerate their scientific research by creating 3D point clouds directly on drones.

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Accelerate Your Workflow with the NGC Catalog

Run GPU-Optimized Software

Ecosystem Partners

NVIDIA partners offer a range of data science, AI training and inference, high-performance computing (HPC), and visualization solutions.

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Learn how to publish your GPU-optimized software on the NGC catalog.

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Resource Center

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News

Read about the latest NGC catalog updates and announcements.

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Webinars

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

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GTC Sessions

Watch all the top NGC sessions on demand.

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Developer Blogs

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

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Frequently Asked Questions

  •

    What does the NGC catalog provide?

    The NGC catalog provides a comprehensive collection of GPU-optimized containers for AI, machine learning, and HPC that are tested and ready to run on supported NVIDIA GPUs on premises, in the cloud, or at the edge. In addition, the catalog provides pretrained models, model scripts, and industry solutions that can be easily integrated into existing workflows.

  •

    What challenges does the NGC catalog address?

    Compiling and deploying deep learning frameworks can be time consuming and prone to errors. Optimizing AI software requires expertise. Building models requires expertise, time, and compute resources. The NGC catalog takes care of these challenges with GPU-optimized software and tools that data scientists, developers, IT, and users can leverage so they can focus on building their solutions.

  •

    What is in the NGC catalog containers?

    Each container has a pre-integrated set of GPU-accelerated software. The stack includes the chosen application or framework, NVIDIA CUDA® Toolkit, accelerated libraries, and other necessary drivers—all tested and tuned to work together immediately with no additional setup.

  •

    What AI software is available from the NGC catalog?

    The NGC catalog features the top AI software, including TensorFlow, PyTorch, MxNet, NVIDIA TensorRT, RAPIDS™, and many more. Browse the NGC catalog to see the full list.

  •

    Where can I run the NGC catalog software?

    The NGC catalog containers run on PCs, workstations, HPC clusters, NVIDIA DGX systems, on NVIDIA GPUs on supported cloud providers, and NVIDIA-Certified Systems. The containers run in Docker and Singularity runtimes. View the NGC documentation for more information.

  •

    How do I run containers from the NGC catalog on a cloud service provider?

    NVIDIA offers virtual machine image files in the marketplace section of each supported cloud service provider. To run an NGC container, simply pick the appropriate instance type, run the NGC image, and pull the container into it from the NGC catalog. The exact steps vary by cloud provider, but you can find step-by-step instructions in the NGC documentation.

  •

    How often are the AI containers from the NGC catalog updated?

    The most popular deep learning software such as TensorFlow, PyTorch, and MXNet are updated monthly by NVIDIA engineers to optimize the complete software stack and get the most from your NVIDIA GPUs.

  •

    If there’s no charge to download the AI containers, do I pay for compute time?

    There’s no charge to download the containers from the NGC catalog (subject to the terms of use). However, for running in the cloud, each cloud service provider will have their own pricing for GPU compute instances.

  •

    Is the NGC a cloud computing platform?

    No, it’s a portal to deliver GPU-optimized software, enterprise services, and software.

  •

    What is the NGC private registry?

    The NGC Private Registry was developed to provide users with a secure space to store and share custom containers, models, model scripts, and Helm charts within their enterprise. The Private Registry allows them to protect their IP while increasing collaboration.

  •

    What kind of support does NVIDIA offer for these AI containers?

    Users get access to the NVIDIA Developer Forum, supported by a large community of AI and GPU experts from the NVIDIA customer, partner, and employee ecosystem. NVIDIA Enterprise Support is available with NVIDIA AI Enterprise licenses and provides direct access to NVIDIA experts, control of your upgrade and maintenance schedules with long-term support options, and access to training and knowledge-base resources.

    In addition, NGC Support Services provides L1-L3 support on NVIDIA-Certified Systems, available through our OEM partners.

  •

    What are NVIDIA-Certified Systems?

    NVIDIA-Certified Systems, consisting of NVIDIA EGX™ and HGX™ platforms, enable enterprises to confidently choose performance-optimized hardware and software solutions that securely and optimally run their AI workloads—both in smaller configurations and at scale. See full list of NVIDIA-Certified Systems.

  •

    What are the terms of use for the NGC catalog?

    Please see ngc.nvidia.com/legal/terms

Accelerate Your Workflow With the NGC Catalog

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