There is also a growing trend in EDA to use cloud computing. To increase productivity, chip makers are increasingly turning to the cloud.
Chip design works best with cloud computing in areas with limited computing resources. In large-scale verification projects, brute-force computation may precede human expertise and skills.
Developing tools and methodologies to handle rising computational demands and shorter design cycles have become increasingly important. Chip companies and designers will increasingly use cloud-based tools and techniques to keep up with chip and system design innovations.
Public cloud deployments offer scalability, elasticity, and HPC and a wide range of collaboration, performance, and project management tools.
Cloud computing provides scalable, elastic computing cycles and storage with virtually unlimited capacity. In addition, chip makers can maintain a certain baseline of storage and computing capabilities on-premises while using public clouds for burst workloads and higher-demand phases, such as validation.
In times of high demand, engineering teams have immediate access to computing, storage, and analytics. Rather than keeping idle servers until the next surge, the teams can return capacity to the cloud service provider (CSP).