Jul 19, 2024 · Jul 19, 2024
diff --git a/pgml-cms/docs/cloud/serverless.md b/pgml-cms/docs/cloud/serverless.md
 # Serverlessdatabases
 # 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 Serverlessdatabase, 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 Serverlessengine, storage and compute resources dynamically adapt to your application's needs, ensuring it can scale down or handle peak loads without overprovisioning.

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

 ### Create a Serverlessdatabase
 ### Create a Serverlessengine

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

 Once logged in, select "NewDatabase" from the left menu and choose the Serverless Plan.
 Once logged in, select "NewEngine" 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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		# Serverlessdatabases
		# 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 Serverlessdatabase, 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 Serverlessengine, storage and compute resources dynamically adapt to your application's needs, ensuring it can scale down or handle peak loads without overprovisioning.

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

		### Create a Serverlessdatabase
		### Create a Serverlessengine

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

		Once logged in, select "NewDatabase" from the left menu and choose the Serverless Plan.
		Once logged in, select "NewEngine" 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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