Customers who source compute infrastructure from public cloud service providers ("bring your own cloud," or BYOC) can take advantage of Synopsys Cloud by leveraging the pay-per-use model or even running some workloads in the Synopsys Cloud SaaS environment. Once connectivity has been established between the on-prem and cloud environments to allow data transfer, these customers can simply run the same scripts and binaries for designated design and verification workloads. Usage is measured on an hourly basis and charges are based on activity.
SaaS customers do everything through the Synopsys Cloud portal, logging in to manage users, projects, and infrastructure. Tools for specific use models like timing analysis and physical verification are enabled applications in the SaaS environment, accessible via the portal.
Without constraints related to capacity or hardware, designers can change how they manage, schedule, and design EDA projects through the lifecycle of their chips. They no longer must commit to a certain number of tool licenses or a particular amount of compute resources before beginning a design. Instead, they can scale up or down as needed, when needed, deciding at any given moment how many instances of a tool are needed and to run them at any scale. As a result, customers can run more jobs faster, taking advantage of the scalability and elasticity of the cloud. Jobs that previously took weeks to finish can now be completed in hours given the dynamic access to robust compute resources.