This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.

# Accelerated upgrade cycle
<a name="accelerated-upgrade-cycle"></a>

Another important reason to move EDA workloads to the AWS Cloud is to get access to the latest processor, storage, and network technologies. In a typical on-premises installation, you must select, configure, procure, and deploy servers and storage devices with the assumption that they remain in service for multiple years. Depending on the selected processor generation and time of purchase, performance-critical production workloads might be running on hardware devices that are already multiple years and multiple processor generations out of date. When you use AWS, you can select and deploy the latest processor generations within minutes, and configure your EDA clusters to meet the unique needs of each application in your chip design workflow.