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.