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Superblocks on AWS means your builders create apps while your data, inference, and storage stay within your existing AWS security boundary. With Cloud-Prem, the entire Superblocks platform runs in your AWS account — control plane, data plane, inference, databases, and storage. With Hybrid, Superblocks manages the control plane while you use the individual pieces — RDS for databases, Bedrock for inference, S3 for file storage — so your data stays on AWS infrastructure you control.

Platform mapping

Superblocks featureAWS serviceDescription
DatabaseAmazon RDSEach app gets its own managed PostgreSQL database on RDS, with automatic schema migrations on deploy
InferenceAmazon BedrockClark AI runs inference through Bedrock, burning down your existing AWS commitment and reducing Clark credit usage
App AIAmazon BedrockRuntime AI features in deployed apps route through Bedrock using models and regions you control
File StoreAmazon S3Each 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. 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:
ModelDescriptionLearn more
HybridData plane runs in your AWS VPC; control plane managed by SuperblocksHybrid on AWS ECS/Fargate
Cloud-PremFully managed single-tenant deployment in your AWS accountCloud-Prem on AWS

Get started

  1. Configure your database backend to use Amazon RDS
  2. Point Clark inference at Amazon Bedrock
  3. Set App AI to route runtime AI through Bedrock
  4. Configure file storage to use S3