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pgml-cms/docs/cloud/serverless.md

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# Serverless databases
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# Serverless
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A Serverless PostgresML database can be created in less than 5 seconds and provides immediate access to modern GPU acceleration, a predefined set of state-of-the-art large language models that should satisfy most use cases, and dozens of supervised learning algorithms like XGBoost, LightGBM, Catboost, and everything from Scikit-learn.
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With a Serverless database, storage and compute resources dynamically adapt to your application's needs, ensuring it can scale down or handle peak loads without overprovisioning.
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A Serverless PostgresML database can be created in less than 5 seconds and provides immediate access to modern GPU acceleration, a predefined set of state-of-the-art large language models that should satisfy most use cases, and dozens of supervised learning algorithms like XGBoost, LightGBM, Catboost, and everything from Scikit-learn. We call this combination of tools an AI engine.
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With a Serverless engine, storage and compute resources dynamically adapt to your application's needs, ensuring it can scale down or handle peak loads without overprovisioning.
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Serverless databases are billed on a pay-per-use basis and we offer $100 in free credits to get you started!
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Serverless engines are billed on a pay-per-use basis and we offer $100 in free credits to get you started!
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### Create a Serverless database
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### Create a Serverless engine
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To create a Serverless database, make sure you have an account on postgresml.org. If you don't, you can create one now.
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To create a Serverless engine, make sure you have an account on postgresml.org. If you don't, you can create one now.
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Once logged in, select "New Database" from the left menu and choose the Serverless Plan.
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Once logged in, select "New Engine" from the left menu and choose the Serverless Plan.
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<figure><img src="../.gitbook/assets/image%20(1).png" alt=""><figcaption><p>Create new database</p></figcaption></figure>
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