Jul 23, 2024 · Jul 23, 2024
diff --git a/pgml-cms/docs/introduction/faq.md b/pgml-cms/docs/introduction/faq.md

 # FAQ

 ## What isPostgresML?
 ## What isPGML?

 PostgresML is an open-source database extension that turns Postgres into an end-to-end machine learning platform. It allows you to build, train, and deploy ML models directly within your Postgres database without moving data between systems.
 PGML is an open-source database extension that turns Postgres into an end-to-end machine learning platform. It allows you to build, train, and deploy ML models directly within your Postgres database without moving data between systems.

 ## What is a DB extension?


 PostgresML requires using Postgres as the database. If your data currently resides in a different database, there would be some upfront effort required to migrate the data into Postgres in order to utilize PostgresML's capabilities.

 ## What ishostedPostgresML?
 ## What is PostgresML Cloud?

 Hosted PostgresML is a fully managed cloud service that provides all the capabilities of open sourcePostgresML without the need to run your own database infrastructure.
 Hosted PostgresML is a fully managed cloud service that provides all the capabilities of open sourcePGML without the need to run your own database infrastructure.

 WithhostedPostgresML, you get:
 With PostgresML Cloud, you get:

 * Flexible compute resources - Choose CPU, RAM or GPU machines tailored to your workload
 * Horizontally scalable inference with read-only replicas
 * Automated backups and point-in-time restore
 * Monitoring dashboard with metrics and logs

 In summary,hostedPostgresML removes the operational burden so you can focus on developing machine learning applications, while still getting the benefits of the unified PostgresML architecture.
 In summary, PostgresML Cloud removes the operational burden so you can focus on developing machine learning applications, while still getting the benefits of the unified PostgresML architecture.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -4,9 +4,9 @@ description: PostgresML Frequently Asked Questions

		# FAQ

		## What isPostgresML?
		## What isPGML?

		PostgresML is an open-source database extension that turns Postgres into an end-to-end machine learning platform. It allows you to build, train, and deploy ML models directly within your Postgres database without moving data between systems.
		PGML is an open-source database extension that turns Postgres into an end-to-end machine learning platform. It allows you to build, train, and deploy ML models directly within your Postgres database without moving data between systems.

		## What is a DB extension?

Expand All		@@ -24,11 +24,11 @@ Benefits include faster development cycles, reduced latency, tighter integration

		PostgresML requires using Postgres as the database. If your data currently resides in a different database, there would be some upfront effort required to migrate the data into Postgres in order to utilize PostgresML's capabilities.

		## What ishostedPostgresML?
		## What is PostgresML Cloud?

		Hosted PostgresML is a fully managed cloud service that provides all the capabilities of open sourcePostgresML without the need to run your own database infrastructure.
		Hosted PostgresML is a fully managed cloud service that provides all the capabilities of open sourcePGML without the need to run your own database infrastructure.

		WithhostedPostgresML, you get:
		With PostgresML Cloud, you get:

		* Flexible compute resources - Choose CPU, RAM or GPU machines tailored to your workload
		* Horizontally scalable inference with read-only replicas
Expand All		@@ -37,4 +37,4 @@ With hosted PostgresML, you get:
		* Automated backups and point-in-time restore
		* Monitoring dashboard with metrics and logs

		In summary,hostedPostgresML removes the operational burden so you can focus on developing machine learning applications, while still getting the benefits of the unified PostgresML architecture.
		In summary, PostgresML Cloud removes the operational burden so you can focus on developing machine learning applications, while still getting the benefits of the unified PostgresML architecture.