> ## Documentation Index
> Fetch the complete documentation index at: https://docs.superblocks.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Superblocks on AWS

> How Superblocks maps to AWS services — RDS, Bedrock, S3, and more

Superblocks on AWS means your builders create apps while your data, inference, and storage stay within your existing AWS security boundary. With [Cloud-Prem](/enterprise/cloud-prem/aws), the entire Superblocks platform runs in your AWS account — control plane, data plane, inference, databases, and storage. With [Hybrid](/enterprise/hybrid-architecture/overview), Superblocks manages the control plane while you run the data plane in your AWS network and integrate with your AWS services — RDS for databases, Bedrock for App AI, S3 for file storage — so your data stays on AWS infrastructure you control.

## Platform mapping

| Superblocks feature                                | AWS service        | Description                                                                                                        |
| -------------------------------------------------- | ------------------ | ------------------------------------------------------------------------------------------------------------------ |
| [Database](/admin/superblocks-on-aws/database)     | **Amazon RDS**     | Each app gets its own managed PostgreSQL database on RDS, with automatic schema migrations on deploy               |
| [Inference](/admin/superblocks-on-aws/inference)   | **Amazon Bedrock** | Clark AI runs inference through Bedrock, burning down your existing AWS commitment and reducing Clark credit usage |
| [App AI](/integrations/app-ai)                     | **Amazon Bedrock** | Runtime AI features in deployed apps route through Bedrock using models and regions you control                    |
| [File Store](/admin/superblocks-on-aws/file-store) | **Amazon S3**      | Each app gets its own isolated S3 bucket for file uploads, reports, and other unstructured data                    |

## What this means for your organization

**Burn down your AWS commitment.** Clark inference, app databases, and file storage all run on AWS resources, contributing to your existing Enterprise Discount Program (EDP) or committed spend, and reducing Clark credit usage.

<Tip>
  Also purchasing Superblocks through [AWS Marketplace](/admin/superblocks-on-aws/aws-marketplace) draws down 100% of your Superblocks spend against your AWS commitment and earns AWS credits on top.
</Tip>

**Data stays in your security boundary.** Whether you choose Cloud-Prem or Hybrid, your application data, AI inference, and file storage remain on AWS infrastructure inside your approved security boundary. No data leaves your network for processing.

**Govern with existing policies.** Superblocks integrates with your existing IAM policies, VPC network controls, and security groups. No new governance model to adopt.

## Deployment options

Superblocks offers multiple deployment models on AWS:

| Model          | Description                                                           | Learn more                                                                              |
| -------------- | --------------------------------------------------------------------- | --------------------------------------------------------------------------------------- |
| **Hybrid**     | Data plane runs in your AWS VPC; control plane managed by Superblocks | [Hybrid on AWS ECS/Fargate](/enterprise/hybrid-architecture/deployment/aws_ecs_fargate) |
| **Cloud-Prem** | Fully managed single-tenant deployment in your AWS account            | [Cloud-Prem on AWS](/enterprise/cloud-prem/aws)                                         |

## Get started

1. Configure your [database backend](/admin/superblocks-on-aws/database) to use Amazon RDS
2. Point Clark inference at [Amazon Bedrock](/admin/superblocks-on-aws/inference)
3. Set [App AI](/integrations/app-ai) to route runtime AI through Bedrock
4. Configure [file storage](/admin/superblocks-on-aws/file-store) to use S3