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<div class="column right-column small-12 medium-8 large-8 gallery "> <div class="no-divider "></div> <div class="background-none "> <div class="column-2 parsys"><div class="textcomponentenhanced section"> <div id="textcomponentenhancecfc45540_c8d3_4568_94a4_b5506b2a9d61"> <div class="general-container-text small-12 mob-p-content medium-12 tab-p-content large-12 lap-p-content large-12 d-p-content p-t-30 p-b-0 lap-p-t-30 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title color-black h3 none" ><span style="line-height: 1.25em;">Accelerate Your AI Projects With Pretrained Models</span></h3> <div class="description color-black body-text"><p>The NGC catalog hosts <a href="https://developer.nvidia.com/ai-models">pretrained GPU-optimized models</a>&nbsp;for a variety of common AI tasks that ‌developers can use as-is or retrain them easily, thus saving valuable time in bringing solutions to market. Each model comes with a model resume outlining the architecture, training details, datasets used, and limitations. NVIDIA AI Foundation models enable developers to experience the models directly in their browsers, integrate them into applications using APIs or download and run them on Windows machines with RTX GPUs.</p></div> <div class="text-button"> <div class="textCmpEnhancedButton-par parsys"><div class="button parbase section"> <div class="text-left lap-text-left tab-text-left mob-text-left p-t-15 p-b-15 lap-p-t-15 lap-p-b-15 tab-p-t-15 tab-p-b-15 mob-p-t-15 mob-p-b-15 mobile-align "> <div class="noicon " > <a href='https://catalog.ngc.nvidia.com/models' data-analytics="txt-manual:" data-title="" data-href='https://catalog.ngc.nvidia.com/models' rel="noopener noreferrer" target="_blank" class=' link-txt txt-manual brand-green regular-btn ' onclick='NVIDIAGDC.button.click(this, $(this).data(&quot;href&quot;),true, function() { ;return NVIDIAGDC.button.callbacks(this); }); return false;'><div class='btn'><b>View Models</b><span class="fas fa-angle-right fa-fw"></span></div></a> </div> </div> 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Jupyter Notebooks</span></h3> <div class="description color-black body-text"><p>The NGC catalog hosts tutorial <a href="https://developer.nvidia.com/jupyter-notebooks/" target="_blank" rel="noopener noreferrer">Jupyter notebooks</a> for a variety of use cases—including <a href="https://ngc.nvidia.com/catalog/resources/nvidia:tao:cv_samples" target="_blank" rel="noopener noreferrer">computer vision</a>, <a href="https://ngc.nvidia.com/catalog/resources/nvidia:bert_tf_jupyter_notebook" target="_blank" rel="noopener noreferrer">natural language processing</a>, and <a href="https://ngc.nvidia.com/catalog/resources/nvidia:vae/files?version=second-upload" target="_blank" rel="noopener noreferrer">recommendation</a>—to give developers a head start in building AI models. 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onclick='NVIDIAGDC.button.click(this, $(this).data(&quot;href&quot;),true, function() { ;return NVIDIAGDC.button.callbacks(this); }); return false;'><div class='btn'><b>View Jupyter Notebooks</b><span class="fas fa-angle-right fa-fw"></span></div></a> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <script> NVIDIAGDC.funcQueue.addToQueue({ id : "columnlayout_copy_193c295408_7ef3_49ba_a5f7_f52f9bae89e0", method : "columnLayout", params : [{ columnsNumber: 2, imageBigDesktopUrl1: 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<div class="sectionenhanced parbase section"> <section id="flex-logo-garden-7-logos" class=" background-white p-t-75 p-b-30 lap-p-t-75 lap-p-b-30 tab-p-t-45 tab-p-b-15 mob-p-t-30 mob-p-b-30 "> <div id="sectionenhanced_copyc174e437_e4a3_4d24_b71a_c20655d8196a" class="general-container "> <div class="large-12 large-12 medium-12 small-12 center"> <div> <div class="page-section-textpar textcomponentenhanced"> <div id="page_section_textpar2e847c5e_4a50_4a40_b25e_999cc055b501"> <div id="partners" class="general-container-text small-12 mob-p-content medium-12 tab-p-content large-12 lap-p-content large-12 d-p-content p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title color-black h2 uppercase" >Ecosystem Partners</h2> <div class="description color-black body-text"><p>NVIDIA partners offer a range of data science, AI training and inference, high-performance computing (HPC), and visualization solutions.</p></div> <div class="text-button"> <div class="textCmpEnhancedButton-par parsys"> </div> </div> </div> </div> </div> </div> </div> <div class="container"> <div class="page-section-par parsys"><div class="image parbase section"> <div id="image_20970667870a70772d_0383_400e_bd03_0487f5f86b7d" class="image-container p-t-15 p-b-15 lap-p-t-15 lap-p-b-15 tab-p-t-15 tab-p-b-15 mob-p-t-15 mob-p-b-15"> <div class="imgwidth "> <img 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class="general-container "> <div class="large-12 large-12 medium-12 small-12 center"> <div> <div class="page-section-textpar textcomponentenhanced"> <div id="page_section_textpar6f44ae06_015d_4964_b8d1_04ceb4a157b0"> <div class="general-container-text small-12 mob-p-content medium-12 tab-p-content large-12 lap-p-content large-12 d-p-content p-t-0 p-b-0 lap-p-t-0 lap-p-b-0 tab-p-t-0 tab-p-b-0 mob-p-t-0 mob-p-b-0 "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title color-black h2 none" >Frequently Asked Questions</h2> <div class="text-button"> <div class="textCmpEnhancedButton-par parsys"> </div> </div> </div> </div> </div> </div> </div> <div class="container"> <div class="page-section-par parsys"><div class="faq parbase section"> <div id="faq1fabf18a_3535_48a0_aea3_ca6a5542fc61" class="accordion-knowledge-base"> <div class="wrapper faqAlign"> <div class="items float-left lap-float-left tab-float-left mob-float-left p-t-45 p-b-0 lap-p-t-45 lap-p-b-0 tab-p-t-15 tab-p-b-0 mob-p-t-15 mob-p-b-0"> <ul> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What does the NGC catalog provide?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What challenges does the NGC catalog address?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What is in the NGC catalog containers?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What AI software is available from the NGC catalog?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>The NGC catalog features the top AI software, including TensorFlow, PyTorch, MxNet, NVIDIA TensorRT, RAPIDS™, and many more. <a href="https://ngc.nvidia.com/registry/" target="_blank">Browse the NGC catalog</a> to see the full list.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>Where can I run the NGC catalog software?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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 <a href="https://docs.nvidia.com/ngc/">NGC documentation</a> for more information.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>How do I run containers from the NGC catalog on a cloud service provider?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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<a href="https://docs.nvidia.com/ngc/"> NGC documentation</a>.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>How often are the AI containers from the NGC catalog updated?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>If there’s no charge to download the AI containers, do I pay for compute time?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>There’s no charge to download the containers from the NGC catalog (subject to the <a href="https://ngc.nvidia.com/legal/terms">terms of use</a>). However, for running in the cloud, each cloud service provider will have their own pricing for GPU compute instances.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>Is the NGC a cloud computing platform?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>No, it’s a portal to deliver GPU-optimized software, enterprise services, and software.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What is the NGC private registry?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What kind of support does NVIDIA offer for these AI containers?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>Users get access to the <a href="https://devtalk.nvidia.com" target="_blank">NVIDIA Developer Forum</a>, 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.</p> <p>In addition, <a href="https://www.nvidia.com/en-us/gpu-cloud/support-services/">NGC Support Services</a> provides L1-L3 support on NVIDIA-Certified Systems, available through our OEM partners.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What are NVIDIA-Certified Systems?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>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 <a href="https://www.nvidia.com/en-us/data-center/products/certified-systems/">NVIDIA-Certified Systems</a>.</p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> <li style="border-color:#000;" class="accordion item"> <div class="faqItem parbase"> <a class="more-link toggleHeader"> <div class="color-brand-green"> <span class="toggle-me"><div class=" color-black fal fa-angle-down"></div></span> <span class=" color-black main-content"><h4>What are the terms of use for the NGC catalog?</h4></span> </div> </a> <div class="accordion-section-container"> <section class="accordion-section"> <div class="column-content"> <div class="content-wrapper"> <div class="body-copy description-faq "><html> <head></head> <body> <p>Please see<a href="https://ngc.nvidia.com/legal/terms"> ngc.nvidia.com/legal/terms</a></p> </body> </html></div> <div class="par parsys"> </div> </div> </div> </section> </div> </div> </li> </ul> </div> <div 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