Case Study: Ginkgo Bioworks achieves cost-efficient synthetic biology scaling with Amazon Web Services

Ginkgo Makes Biology Easier to Engineer and Scales Cost Efficiently Using AWS Batch

Ginkgo Bioworks, a synthetic biology company, needed a cost-efficient way to scale its high-performance computing workloads and manage petabytes of data while running hundreds of thousands of jobs. It turned to Amazon Web Services, using AWS Batch along with Amazon EBS and Amazon S3 Intelligent-Tiering to support its biology engineering platform and reduce infrastructure complexity.

With Amazon Web Services, Ginkgo Bioworks streamlined storage and job processing, enabling faster experimentation and helping teams focus more on science than infrastructure. The results were significant: Ginkgo said it saved up to 90% on Amazon EBS costs and up to 60% on storage costs with S3 Intelligent-Tiering, while also improving scalability, security compliance, and speed to deliver customer answers.

Ginkgo Bioworks

Sudeep Agarwala

Ginkgo Bioworks