Innovate quickly with AWS Graviton Fast Start
Get up to 40% better price performance for a variety of workloads
The AWS Graviton Fast Start program helps you quickly and easily move your workloads to AWS Graviton in as little as four hours for many applications such as serverless, containerized, database, and caching.
- increased performance
- reduced costs
- lower latency
- better scalability
What can AWS Graviton do for your workloads?
Whether you have self-managed workloads in Amazon EC2, or are looking for a fully managed experience for your serverless, containerized, database, caching, and analytics workloads, you can realize the benefits of Graviton-based instances in AWS. Explore the AWS services below to see how you can get started with AWS Graviton.
See how AWS Graviton processors have helped other customers reinvent their businesses.
“We are estimating 25% lower operating costs for these microservices. It took us about 4 weeks to add support for Graviton2 to our lab and production Kubernetes environments, build pipelines, and development kits. Adoption was a seamless experience and we are in the process of migrating our fleet of over 700 microservices to Graviton2-based instances.”
Jonathan Tronson, AVP Software Engineering
“We are really excited about the new Graviton3 processors given the amazing 25-35% higher performance that we are seeing in almost all cases. We recommend that everyone should move to Graviton3 for its amazing price/performance ratio and are really excited about the upcoming release of fixers that will help customers migrate their workloads over with a few simple clicks.”
Rahul Subramaniam, CEO
“We had already seen that Graviton2-based C6gn instances provided us the best price performance for some of our CFD workloads. We have now found Graviton3 C7g instances to be 40% faster than the Graviton2 C6gn instances for those same simulations. We’re excited that EFA will be standard on this instance type, and given this much improved price performance, we expect Graviton3-based instances to become the optimal choice to run all of our CFD workloads.”
Pat Symonds, CTO