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Choosing the right compute orchestration tool for your research workload

HPC Blog



This article provides a comprehensive overview of various AWS compute orchestration tools and their suitability for different research workloads.

Specifically, the article covers:

  • AWS ParallelCluster for classic HPC clusters with tightly coupled workloads
  • AWS Batch for container-based, highly parallel jobs
  • Amazon SageMaker for machine learning projects and Jupyter Notebooks
  • Amazon Lightsail for Research for individual cloud desktops
  • Research and Engineering Studio on AWS for managing cloud desktops at scale
  • AWS HealthOmics for bioinformatics and genomic data analysis
  • Leveraging serverless technologies like AWS Lambda and AWS Step Functions for distributed, asynchronous workloads
  • The importance of understanding your workload requirements and choosing the right tool accordingly


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