With rising cloud costs, and shrinking budgets, now more than ever teams are seeking ways to achieve optimal cloud cost savings without sacrificing performance. 

Join us for an exciting webinar on running efficient AI in the cloud, and achieving optimal cost savings with a multi-cloud approach. By the end of this webinar, you will have a better understanding of how to optimize your cloud compute costs using a multi-cloud approach and how to get started with a centralized control plane and MLOps tooling.

Our expert speakers will dive into the common problem of rising cloud compute costs, especially for computationally heavy AI workloads, and explore how a multi-cloud approach can drastically reduce costs for your organization.

Discover the advantages of a multi-cloud environment and learn how to make it happen in reality. In this webinar, you will see an end to end example of an optimized AI project using the best resource for the job in a single pipeline. We’ll give you strategies and tips to move between clouds and run a pipeline across multiple cloud providers using cnvrg.io, while having a centralized control plane and MLOps tooling.