Moving your chip design work to the cloud provides you with instant access to vast amounts of compute and storage resources. Since the demand for computing resources varies both cyclically and unpredictably throughout the chip design process, scalability is essential.
Cloud providers offer automated provisioning and easy to manage environments, simplifying the process for chip design teams. Designers can easily activate however many machines they need for timing analysis and physical verification. Once they complete each step, they can return the resources to the cloud and stop the charges.
With cloud-based technology, chip designers have instant access to compute and storage resources, enabling simultaneous testing while helping boost efficiency. The cloud allows companies to focus on their core products rather than update their computing environments. Traditional models perpetuate chronic capacity and demand mismatch, resulting in engineers or servers sitting idle during considerable portions of the design cycle. Similarly, traditional models can impair productivity and delay product launches.
Predictability and Transparency
The chip design process becomes predictable and transparent when moving EDA to the cloud. The cloud consolidates EDA tools and methodologies into a unified platform—a single pane of glass for the entire design flow. Better visibility allows for a more predictable process. You can fix issues early, get your products to market on time, and stay on track with your company’s product roadmap. Plus, early warnings mean a better chance of solving problems.
The chip industry is constantly under pressure to innovate. A cloud service provider can guide this innovation by offering sophisticated tools and services that are ready to go right out of the box. Instead of spending time and money creating their own artificial intelligence (AI) and machine learning (ML) projects, chip designers can work with these prebuilt tools and concentrate on their designs.
Designers use tools from all over the EDA ecosystem to accomplish multiple tasks simultaneously. By removing compute and storage constraints while leveraging cloud-native tools, organizations can break down existing silos between research, design, and development teams and consumers.
For cloud providers, security is a core competency. Chip designers have traditionally resisted cloud adoption because of security concerns, yet cloud providers spend far more on security than any one enterprise does. They offer a broad selection of automated tools and best practices, such as data encryption in motion and at rest. They also make significant security investments to protect customers against threats. Cloud providers employ larger security teams than the average company's IT staff.
Overall, transitioning to cloud-based technology can save you money. For start-ups, it might make sense to fully move to the cloud and enjoy the benefits of an accessible support system. Enterprise semiconductor companies, however, might rely upon a hybrid cloud model to augment their on-premises data centers.
Cloud computing resources will reduce capital expenditures and keep costs down year-round, especially since data centers are designed and sized for peak usage.