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Jul 23, 2024
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Updated copy for consistency #1582

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12 changes: 6 additions & 6 deletions pgml-cms/docs/introduction/faq.md
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Expand Up @@ -4,9 +4,9 @@ description: PostgresML Frequently Asked Questions

# FAQ

## What is PostgresML?
## What is PGML?

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 is hosted PostgresML?
## What is PostgresML Cloud?

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

With hosted PostgresML, 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, hosted PostgresML 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.