As it relates to chip design workloads, cloud scalability has the following benefits: flexibility, cost-efficiency, ease of use, and disaster recovery.
In chip design, computing demand varies cyclically and unpredictably. Transitioning chip design workloads to a cloud environment offers near-immediate access to enormous computing and storage resources.
Let’s take an organization performing static timing analysis or physical verification. This organization can quickly activate as many machines as they need with automated provisioning and straightforward user interfaces operated by the cloud provider. Charges stop once the organization returns the resources to the cloud.
With the on-premises model, capacity and demand are chronically mismatched. As a result, engineers and servers sit idle for much of the design cycle. This inactivity reduces productivity, delays product launches, and costs money. With cloud scalability, you can minimize waste by paying only for what you use.
Ease of Use
Increasing or decreasing capacity to meet variable chip design demand simply requires a few clicks from IT administrators. The simplicity saves IT staff precious time. You also won’t need to waste money installing additional physical hardware.
With cloud scalability, disaster recovery costs decrease since there is no need for secondary data centers. Chip designers benefit because the cloud protects valuable data and IP. It also prevents a full shutdown should a disaster disrupt on-premises equipment.