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14 changes: 7 additions & 7 deletions pgml-cms/docs/cloud/serverless.md
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# Serverless databases
# Serverless

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.
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.
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.
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.

Serverless databases are billed on a pay-per-use basis and we offer $100 in free credits to get you started!
Serverless engines are billed on a pay-per-use basis and we offer $100 in free credits to get you started!

### Create a Serverless database
### Create a Serverless engine

To create a Serverless database, make sure you have an account on postgresml.org. If you don't, you can create one now.
To create a Serverless engine, make sure you have an account on postgresml.org. If you don't, you can create one now.

Once logged in, select "New Database" from the left menu and choose the Serverless Plan.
Once logged in, select "New Engine" from the left menu and choose the Serverless Plan.

<figure><img src="../.gitbook/assets/image%20(1).png" alt=""><figcaption><p>Create new database</p></figcaption></figure>

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