It's no secret that companies using on-premises EDA tools face many challenges. Depending on your company's size, you might not have enough computing power to develop the latest chips, which require more processing power than older ones. The increasing use of artificial intelligence in design tools and workflows drives higher demand for flexible access to computing resources and EDA tools.
Moving away from a well-understood and reliable on-premises investment model can feel risky. These days, small and medium-sized businesses often don't have the money to invest in infrastructure. They don't have the time, expertise, space, and budget to grow their platform. On-premises engineering platforms, however, are likely to require significant legacy investments to support operational consistency.
Additionally, on-premises infrastructures aren’t flexible and become outdated quickly. Small and mid-sized companies face major issues whenever their on-premises data center can’t handle the workload or needs to complete a project quickly. They can't scale up their on-premises capacity fast enough, even if they want to.
EDA licenses can be expensive, and the need for them is hard to predict. Chip design is limited by the cost, availability, and complexity of the right EDA tools. Also, licensing models can differ among vendors and users. Unused capacity can drive up costs and disrupt operations.
Cloud-based EDA tools can help you overcome these challenges and focus on what you do best – design chips, faster. Benefits of cloud-based EDA include ability to access unlimited EDA software on-demand, leverage pre-defined EDA flows that are ready to go with pre-optimized compute configurations, and access to infrastructure and licenses all in one place.