Case Study: Rezolve AI automates multi-cloud Kubernetes at scale with CAST AI

Rezolve AI cuts production compute costs by 50% with CAST AI

Rezolve AI, a publicly traded technology company specializing in generative AI for commerce, faced unsustainable operational complexity managing hundreds of multi-regional Kubernetes clusters for its clients. After a failed implementation with a competitor caused three production outages, their SRE team sought a solution to automate node rightsizing, rebalancing, and costly reserved instance planning. They turned to the vendor CAST AI to resolve these critical challenges.

CAST AI provided a comprehensive automation platform that handled node management, spot instance placement, and nightly rebalancing. The solution enabled Rezolve AI to shift engineering effort from cloud operations to application development. The results were significant, including the elimination of manual toil, the ability to run 50% of production nodes on spot instances, and a reduction in compute costs by approximately half or more.

Rezolve AI