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NGC

GPU-Optimized Software Hub
Simplifying DL, ML and HPC Workflows.

Accelerating Innovation

NGC is the hub for GPU-optimized software for deep learning, machine learning, and HPC that takes care of all the plumbing so data scientists, developers, and researchers can focus on building solutions, gathering insights, and delivering business value.

Discover GPU Acceleration

Our comprehensive catalog of GPU-accelerated NGC containers deliver powerful and easy-to-deploy software for deep learning, machine learning and HPC.

Deploy GPU-Accelerated Applications Rapidly in the Cloud

Innovate in Minutes

NGC containers get you up and running quickly. Each container is proven to deliver the fastest results, and reduce the complexity typically associated with setting up software.

NVIDIA Deep Learning Containers are Always up to Date

Stay Up to Date

The top deep learning containers are updated monthly to keep systems running at peak performance. All containers provide easy access to fully tested and optimized software releases.

Accelerate
Time-to-Solution

NGC accelerates productivity with easy to deploy, optimized AI frameworks, and HPC application containers so users can focus on building their solutions.

Simplify
AI Adoption

NGC lowers the barrier to AI adoption by taking care of the heavy lifting (expertise, time, compute resources) with pre-trained models and workflows with best-in-class accuracy and performance.

Run Anywhere You Have NVIDIA GPUs

Run software from NGC on-prem, in the cloud, or using hybrid and multi-cloud deployments. NGC software can be deployed on bare metal servers or on virtualized environments, maximizing utilization of GPUs, portability, and scalability of applications.

Deploy NGC Software with Confidence

Enterprise-grade support for NGC-Ready systems provides direct access to NVIDIA's experts, minimizing risk, and maximizing system utilization and user productivity.

Accelerate Your Workflows with NGC

NGC provides a range of options that meet the needs of data scientists, developers, and researchers with various levels of AI expertise. Build models from scratch with framework containers, leverage model training scripts and pre-trained models to speedup projects, or use complete workflows for the fastest AI implementation. No matter which option you pick, you will experience a faster start and a faster time-to-solution.

Containers
Models
Model Scripts
Industry Solutions
Q&A

Deploy and Run Workloads Faster with Containers

Spanning AI, data science, and HPC, the container registry on NGC features an extensive range of GPU-accelerated software for NVIDIA GPUs.

NGC hosts containers for the top AI and data science software, tuned, tested and optimized by NVIDIA, as well as fully tested containers for HPC applications and data analytics. NGC containers provide powerful and easy-to-deploy software proven to deliver the fastest results, allowing users to build solutions from the ground up, with complete control.

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Jumpstart Your Projects with Pre-Trained Models

Many AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. When developing applications with these capabilities, it is much faster to start with a model that is pre-trained and then tune it for a specific use case.

NGC offers pre-trained models for a variety of common AI tasks that are optimized for NVIDIA Tensor Core GPUs, and can be easily re-trained by updating just a few layers, saving valuable time.

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Build Highly-Optimized AI Models with Step-by-Step Instructions

NGC offers step-by-step instructions and scripts for creating deep learning models, with sample performance and accuracy metrics to compare your results. These scripts provide expert guidance on building DL models for image classification, language translation, text-to-speech and more. Data scientists can quickly build performance-optimized models by easily adjusting the hyperparameters.

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Deliver Solutions Faster with Ready-to-Deploy AI Workflows

NGC features NVIDIA Transfer Learning Toolkit, an SDK that allows deep learning application developers and data scientists to re-train object detection and image classification models, and is easily deployed with NVIDIA DeepStream SDK for Intelligent Video Analytics.

CLARA for HEALTHCARE >

METROPOLIS for SMART CITIES >

What does NGC provide?

NGC provides a comprehensive catalog of GPU-accelerated containers for AI, machine learning and HPC that are optimized, tested and ready-to-run on supported NVIDIA GPUs on-premises and in the cloud. In addition, it provides pre-trained models, model scripts, and industry solutions that can be easily integrated in existing workflows.
What challenges does NGC address?

Compiling and deploying DL frameworks from is time consuming and error-prone. Optimizing AI software requires expertise. Building models requires expertise, time and compute resources. NGC takes care of these challenges with GPU-optimized software and tools that data scientist, developers, IT and users can leverage so they can focus on building their solutions.
What is in the NGC 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 container registry?

The NGC container registry features the top AI software such as TensorFlow, PyTorch, MXNet, NVIDIA TensorRT ™, RAPIDS and many more. Browse the NGC container registry to see the full list.
Where can I run the NGC software?

The NGC containers run on PCs, workstations, HPC clusters, NVIDIA DGX systems, on NVIDIA GPUs on supported cloud providers, and NGC-Ready systems. The containers run in Docker and Singularity runtimes. View the NGC documentation for more information.
How do I run containers from NGC 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 container registry. 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 container registry 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 is no charge to download the containers from the NGC container registry (subject to the terms of the TOU). However, for running in the cloud, each cloud service provider will have their own pricing for GPU compute instances.
Is NGC a cloud computing platform?

No, NGC is a container registry that delivers GPU-optimized software stacks.
What kind of support does NVIDIA offer for these AI containers?

Users get access to the NVIDIA DevTalk Developer Forum https://devtalk.nvidia.com, supported by a large community of AI and GPU experts from the NVIDIA customer, partner, and employee ecosystem.

In addition, NVIDIA NGC Support Services provides L1-L3 support on NGC-Ready systems, available through our OEM resellers.
What is NGC-Ready?

NVIDIA’s NGC-Ready program enables all server makers to validate NGC containers on their systems. Servers that pass the program’s suite of tests are termed “NGC-Ready” to deploy CUDA-X applications. See full list of NGC-Ready systems.
What are the terms of use for NGC?

Please see https://ngc.nvidia.com/legal/terms

Accelerate Your Workflow with NGC

Deploy Now

RUN NGC ACROSS PLATFORMS

NGC software runs on a wide variety of NVIDIA GPU-accelerated platforms, including on-prem NGC-Ready servers, NVIDIA DGX™ Systems, workstations with NVIDIA TITAN and NVIDIA Quadro^® GPUs, virtualized environments with NVIDIA vComputeServer, and top cloud platforms with easy kubernetes cluster deployment.

On-prem NGC-ready Servers
Workstations
Cloud Service Providers

View the full list of servers and workstations

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NVIDIA NGC Support Services

IT teams supporting organizations adopting AI and data science are managing new types of workloads, frequently-updated software, and hardware for a diverse set of users.

NVIDIA NGC Support Services provides enterprise-grade support to ensure NGC-Ready systems run optimally, maximizing system utilization and user productivity. The service gives enterprise IT direct access to NVIDIA subject matter experts to quickly address software issues and minimize system downtime.

Learn More

Contact Partners

View the full list of servers with NVIDIA NGC Support Services here.

Accelerate Your Workflow with NGC

GET STARTED

Follow Data Center

NGC

Accelerating Innovation

Discover GPU Acceleration

Innovate in Minutes

Stay Up to Date

Accelerate Time-to-Solution

Simplify AI Adoption

Run Anywhere You Have NVIDIA GPUs

Deploy NGC Software with Confidence

Accelerate Your Workflows with NGC

Deploy and Run Workloads Faster with Containers

Jumpstart Your Projects with Pre-Trained Models

Build Highly-Optimized AI Models with Step-by-Step Instructions

Deliver Solutions Faster with Ready-to-Deploy AI Workflows

What does NGC provide?

What challenges does NGC address?

What is in the NGC containers?

What AI software is available from the NGC container registry?

Where can I run the NGC software?

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

How often are the AI containers from the NGC container registry updated?

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

Is NGC a cloud computing platform?

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

What is NGC-Ready?

What are the terms of use for NGC?

RUN NGC ACROSS PLATFORMS

NVIDIA NGC Support Services

Contact Partners

Accelerate Your Workflow with NGC

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