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### How do I pay for AI Unlimited? | ||
You pay your cloud service provider for the hours that AI/ML engine resources are running. The charges depend on instance size and number of instances. | ||
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### If I get errors or have any problems, what should I do? | ||
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The [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa) is ready to help you. Go there to ask questions, get troubleshooting advice, and share ideas. | ||
### If I get errors or have problems I can't resolve, what should I do? | ||
Email the <a href="mailto:[email protected]">support team</a>. Also, the [AI Unlimited community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa) is ready to help you. Go there to ask questions, get troubleshooting advice, and share ideas. | ||
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## Projects | ||
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### What is a project? | ||
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A project is a means to explore and analyze data from a Jupyter notebook. Each project has a repository in your GitHub or GitLab account. | ||
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### How do I use a project? | ||
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In a Jupyter notebook, you create a project, which automatically creates its Git repository. Then you authorize access to your data store, deploy the project's AI/ML engine, and run analytic workloads. You can suspend the project (and engine) anytime, then restore it, to pay only for the hours you need. | ||
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### What's my API key for? | ||
You use your API key to connect your Jupyter notebook to the AI Unlimited manager. This is the first thing you do when you open a new notebook to create or access a project. | ||
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### What's in a project's repository? | ||
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The project owner (the user who created the project) adds project collaborators to the Git repository. From there, each time the engine is deployed, AI Unlimited derives the users authorized to connect to and use the engine. | ||
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But, if the engine is already deployed, the project owner must update the engine to add those users so they can connect to and use the engine during that deployment. | ||
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Explore some of the ways you can experiment with AI/ML analytics on large datasets, before scaling, applying the results to other use cases, or operationalizing your models. | ||
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:::tip | ||
Discuss these and share ideas for other use cases in the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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For help with these use cases, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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::: | ||
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:::tip | ||
For help with AI Unlimited projects, magic commands, and analytic functions, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
::: | ||
For help with AI Unlimited projects, magic commands, and analytic functions, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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You'll use a CloudFormation template provided by Teradata to install the manager from the AWS Management Console. You'll deploy a server instance, on which the manager runs in a container controlled by [systemd](/docs/glossary.md#systemd). | ||
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:::tip | ||
For installation support, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
For installation help, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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You'll use an Azure Resource Manager (ARM) template provided by Teradata to install the manager from the Azure Portal. You'll deploy a server instance, on which the manager runs in a container controlled by [systemd](/docs/glossary.md#systemd). | ||
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:::tip | ||
For installation support, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
For installation help, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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::: | ||
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:::tip | ||
For setup support, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
For setup help, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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<a id="setup-fields"></a> | ||
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Your user type determines what you can do. | ||
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:::tip | ||
For help with managing projects, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
For help with managing projects, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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This deploys a server instance, with JupyterLab running in a container controlled by [systemd](/docs/glossary.md#systemd). | ||
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:::tip | ||
For installation support, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
::: | ||
For installation support, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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## Prepare your AWS account | ||
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This deploys a server instance, with JupyterLab running in a container controlled by [systemd](/docs/glossary.md#systemd). | ||
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:::tip | ||
For installation support, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
For installation support, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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You'll use [Docker Compose](https://docs.docker.com/compose/) to run JupyterLab, with the AI Unlimited Jupyter Kernel, locally in a container. | ||
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:::tip | ||
For installation support, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
For installation support, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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You'll use [Docker Compose](https://docs.docker.com/compose/) to run the AI Unlimited manager and JupyterLab, with the AI Unlimited Jupyter Kernel, locally in containers. | ||
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:::tip | ||
For installation support, ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
For installation support, email the <a href="mailto:[email protected]">support team</a> or ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). | ||
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## Prerequisites | ||
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- A pay-as-you-go AWS or Azure account on which to deploy the engine from a Jupyter notebook | ||
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--- | ||
id: support | ||
title: Support | ||
description: Learn how to get help with installing and using AI Unlimited. | ||
sidebar_label: Support | ||
sidebar_position: 8 | ||
pagination_prev: null | ||
pagination_next: null | ||
--- | ||
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# Support | ||
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You can get help with installing and using AI Unlimited these ways: | ||
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- <a href="mailto:[email protected]">Email</a> the support team. | ||
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- Ask the [community](https://support.teradata.com/community?id=community_forum&sys_id=b0aba91597c329d0e6d2bd8c1253affa). Bring your questions, get troubleshooting advice, and share ideas. | ||
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