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

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Accelerating Innovation

NGC is the hub for GPU-optimized software for deep learning, machine learning, and high-performance computing (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.

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Accelerate Time-to-Solution

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.

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Simplify AI Adoption

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.

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Run Anywhere You Have NVIDIA GPUs

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Run software from NGC on-prem, in the cloud, and edge 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.

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Deploy NGC Software with Confidence

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

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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. Quickly deploy AI frameworks with containers, get a head start with pre-trained models or model training scripts, and use domain specific workflows and Helm charts for the fastest AI implementations, giving you faster time-to-solution.

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  • HELM CHARTS
  • Containers
  • Models
  • Model Scripts
  • Industry Solutions
  • Q&A
  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • 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.

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  • Is NGC a cloud computing platform?

    No, NGC is a container registry that delivers GPU-optimized software stacks.

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  • 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.

     

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  • 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.

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  • What are the terms of use for NGC?

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

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Accelerate Your Workflow with NGC

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NGC software runs on a wide variety of NVIDIA GPU-accelerated platforms, including NGC-Ready servers for edge and data center NVIDIA DGX? Systems, workstations with NVIDIA TITAN and NVIDIA Quadro? GPUs, virtualized environments with NVIDIA vComputeServer, and top cloud platforms.

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  • EDGE
  • DATA CENTER
  • Workstations
  • Cloud Service Providers

NGC-Ready systems for edge deployments are validated for functionality and performance of NGC software, including additional testing for security and remote management. This increases the speed and reduces the risk of new deployments, especially where IT expertise will not be physically present.

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ASRock Rack
Atos
DellEMC
Fujitsu
Gigabyte
H3C
Hewlett Packard Enterprise
Inspur
Lenovo
Mitac
NetApp
Quanta Cloud Technology
Supermicro
Tyan

NGC-Ready systems are validated for performance and functionality of NGC containers on bare-metal and virtual servers, giving IT teams the confidence to deploy the system quickly and with reduced risk in their current environment.

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Aparna Systems
ASRock Rack
Asus ES
Atos
Cisco
Cray
DellEMC
Fujitsu
GIGABYTE
H3C
Hewlett Packard Enterprise
Inspur
Lenovo
Mitac
NetApp
Quanta Cloud Technology
Supermicro
Tyan
WiWynn

NGC-Ready workstations equipped with NVIDIA Quadro RTX? GPUs provide a platform that offers the performance and flexibility that researchers and data scientists need to rapidly build, train, and explore deep learning and data science projects.

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Boxx
Dell
Hp
Lenovo

NGC containers for AI and HPC workloads are tested to run on Kubernetes in virtualized environments on the world’s leading cloud platforms, giving organizations the flexibility to scale with demand and deliver customer satisfaction.

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Alibaba Cloud
AWS
Google Cloud
Microsoft Azure
Oracle Cloud Infrastructure
OVH.com
Tencent Cloud
Yandex Cloud

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.

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Contact Partners

ASRock Rack
Asus ES
Cisco
Colfax
Exxact
GIGABYTE
Hewlett Packard Enterprise
QCT
Supermicro
Tyan

View the full list of servers from partners offering NVIDIA NGC Support Services here.

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Accelerate Your Workflow with NGC

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