NVIDIA GPU CLOUD. DU _v02 July Getting Started Guide

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NVIDIA GPU CLOUD DU-08787-001 _v02 July 2018 Getting Started Guide

TABLE OF CONTENTS Chapter 1. Getting Started Using... 1 1.1. Signing Up for an NGC Account... 1 1.2. Logging on to the NGC Website... 3 1.3. Generating Your NGC API Key... 5 1.4. Browsing the Repositories in the NGC Container Registry... 7 DU-08787-001 _v02 ii

Chapter 1. GETTING STARTED USING NVIDIA GPU CLOUD The NVIDIA GPU Cloud (NGC) manages a catalog of fully-integrated and optimized deep learning framework containers. By signing up for an account through the NGC website, you can access these containers in the NGC container registry and run them on a number of accelerated computing environments. The instructions in this document will assist in getting you started using NGC. 1.1. Signing Up for an NGC Account 1. From your browser, go to https://ngc.nvidia.com. Click Sign Up to start the sign-up process. Do not enter your email yet. 3. Fill in all the information on the Sign Up form, then click Sign Up. 2. DU-08787-001 _v02 1

Getting Started Using You will receive a welcome email with instructions on setting up your account access. DU-08787-001 _v02 2

Getting Started Using Click the link in the welcome email to open the initial NGC Create a Password page in a browser. 5. Follow the instructions to create your password. 6. To sign in to your account, click the sign in link in the Welcome screen telling you that your account has been activated. 4. 1.2. Logging on to the NGC Website After successfully activating your account, you are taken to the NGC website login screen. You can also open the login page at any time by going to https://ngc.nvidia.com. DU-08787-001 _v02 3

Getting Started Using Enter your email and click Next, then on the next page enter your password and click Next. 2. The first time that you sign in, you must agree to the Terms of Use before you can enter the website. 1. After logging in, the website opens to the Getting Started screen, which provides the general steps for using NGC with the cloud service provider. DU-08787-001 _v02 4

Getting Started Using 3. Click Get Started to open the NGC Registry page. 1.3. Generating Your NGC API Key After logging in, the website opens to the NGC Registry page. DU-08787-001 _v02 5

Getting Started Using 1. Click Get API key to open the API Key page. The API Key is the mechanism used to authenticate your access to the NGC container registry. 2. Click Generate API Key to generate your API key. A warning message appears to let you know that your old API key will become invalid if you create a new key. 3. Click Confirm to generate the key. Your API key appears. You only need to generate an API Key once. NGC does not save your key, so store it in a secure place. (You can copy your API Key to the clipboard by clicking the copy icon to the right of the API key. ) Should you lose your API Key, you can generate a new one from the NGC website. When you generate a new API Key, the old one is invalidated. DU-08787-001 _v02 6

Getting Started Using 1.4. Browsing the Repositories in the NGC Container Registry Browse the Repositories section of the NGC Registry page to determine which Docker repositories and tags are available to you. Click one of the repositories to view information about that container image as well as the available tags that you will use when running the container. The image below shows information for the PyTorch repository, including available tags. DU-08787-001 _v02 7

Getting Started Using Using the most recent tag, you would specify the container to run as pytorch:17.10 on the Docker command line in your accelerated computing environment. Next Steps Now that you have your API Key, you can begin using the containers from the NGC container registry. Be sure to prepare your plartform for running the NGC containers. See the following documentation for instructions on setting up your platform as well as information about the latest available framework containers: Documentation Preparing to Use Containers (for DGX systems) Deep Learning Frameworks - includes a User Guide, Best Practices Guide, and individual framework container release notes. DU-08787-001 _v02 8

Notice THE INFORMATION IN THIS GUIDE AND ALL OTHER INFORMATION CONTAINED IN NVIDIA DOCUMENTATION REFERENCED IN THIS GUIDE IS PROVIDED AS IS. NVIDIA MAKES NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO THE INFORMATION FOR THE PRODUCT, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE. Notwithstanding any damages that customer might incur for any reason whatsoever, NVIDIA s aggregate and cumulative liability towards customer for the product described in this guide shall be limited in accordance with the NVIDIA terms and conditions of sale for the product. THE NVIDIA PRODUCT DESCRIBED IN THIS GUIDE IS NOT FAULT TOLERANT AND IS NOT DESIGNED, MANUFACTURED OR INTENDED FOR USE IN CONNECTION WITH THE DESIGN, CONSTRUCTION, MAINTENANCE, AND/OR OPERATION OF ANY SYSTEM WHERE THE USE OR A FAILURE OF SUCH SYSTEM COULD RESULT IN A SITUATION THAT THREATENS THE SAFETY OF HUMAN LIFE OR SEVERE PHYSICAL HARM OR PROPERTY DAMAGE (INCLUDING, FOR EXAMPLE, USE IN CONNECTION WITH ANY NUCLEAR, AVIONICS, LIFE SUPPORT OR OTHER LIFE CRITICAL APPLICATION). NVIDIA EXPRESSLY DISCLAIMS ANY EXPRESS OR IMPLIED WARRANTY OF FITNESS FOR SUCH HIGH RISK USES. NVIDIA SHALL NOT BE LIABLE TO CUSTOMER OR ANY THIRD PARTY, IN WHOLE OR IN PART, FOR ANY CLAIMS OR DAMAGES ARISING FROM SUCH HIGH RISK USES. NVIDIA makes no representation or warranty that the product described in this guide will be suitable for any specified use without further testing or modification. Testing of all parameters of each product is not necessarily performed by NVIDIA. It is customer s sole responsibility to ensure the product is suitable and fit for the application planned by customer and to do the necessary testing for the application in order to avoid a default of the application or the product. Weaknesses in customer s product designs may affect the quality and reliability of the NVIDIA product and may result in additional or different conditions and/ or requirements beyond those contained in this guide. NVIDIA does not accept any liability related to any default, damage, costs or problem which may be based on or attributable to: (i) the use of the NVIDIA product in any manner that is contrary to this guide, or (ii) customer product designs. Other than the right for customer to use the information in this guide with the product, no other license, either expressed or implied, is hereby granted by NVIDIA under this guide. Reproduction of information in this guide is permissible only if reproduction is approved by NVIDIA in writing, is reproduced without alteration, and is accompanied by all associated conditions, limitations, and notices.

Trademarks NVIDIA, the NVIDIA logo, and Volta are trademarks and/or registered trademarks of NVIDIA Corporation in the Unites States and other countries. Docker and the Docker logo are trademarks or registered trademarks of Docker, Inc. in the United States and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Copyright 2018 NVIDIA Corporation. All rights reserved.