Case Study: Instabase achieves 30% lower compute costs and faster performance with Amazon Web Services

A Amazon Web Services Case Study

Preview of the Instabase Case Study

Building Generative AI Solution AI Hub Using AWS with Instabase

Instabase, the company behind AI Hub, needed a scalable and highly available way to digitize documents and process them with large language models while keeping infrastructure costs under control. Using Amazon Web Services, specifically Amazon EC2 and related AWS services, Instabase built its SaaS solution on cloud infrastructure that could support both production workloads and short-lived development environments.

Amazon Web Services helped Instabase save 30% on compute costs, improve performance by 20% after moving to Amazon EC2 M6i Instances, and cut development stack costs by 70% with Amazon EC2 Spot Instances. By using AWS services such as Amazon EKS, Amazon OpenSearch Service, and Amazon S3, Instabase improved reliability and availability, rearchitected in just 3 months, launched a new product faster, and can now stand up environments up to 95% faster than on-premises deployments.


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Instabase

Shaunak Godbole

Director of Engineering


Amazon Web Services

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