3.4 Common Use Cases

Common Use Cases

This section will contain guides for common research scenarios using direct AWS access. Each use case will include a brief overview and links to relevant AWS documentation.

Compute (EC2)

Running virtual machines for research workloads.

Storage (S3)

Storing and sharing research datasets.

Machine Learning (SageMaker)

Training and deploying ML models.

Batch Processing (AWS Batch)

Running large-scale parallel workloads.

Generative AI (Bedrock)

Accessing foundation models for generative AI research.

Big Data (EMR / Athena)

Processing and querying large datasets.

Quick Service Selection Guide

Need Service
Run a virtual machine EC2
Store files/objects S3
Relational database RDS
Machine learning SageMaker
Batch processing AWS Batch
Serverless compute Lambda
Big data analytics EMR, Athena
Generative AI Bedrock
HPC clusters PCluster
Tip

Start with the simplest service that meets your needs. You can always migrate to more complex solutions as requirements grow.