Skip to main content Skip to footer

Cloud imperative for semiconductor design workloads

August 20, 2021


Public cloud

A good fit for new companies, this approach brings scalability, elasticity and high performance as well as better performance, collaboration, etc.

Hybrid public/private cloud

This approach allows established companies to leverage their existing infrastructure while taking advantage of the benefits of the public cloud.

Flexible on-premises private cloud

The server OEMs install servers at the facility of the semiconductor client, that can be accessed for a fee during high demand periods.

Different deployment models offer varying degrees of scalability and cost benefits. Considering organizational priorities, companies can match-up with the best model that will help them succeed in the modern environment.

Industry context

State of EDA on Cloud today: While EDA applications today run mostly on premises, in the long term, the greater value for both EDA vendors and clients would be in the software becoming cloud native.

Scalability and flexibility

Immediate access to compute and storage resources by CSPs. The latency issues are addressed by on-premises private clouds.

Beyond capacity

CSPs offer sophisticated tools and services for innovation. Design teams can leverage software tools from the EDA ecosystem.


Instant access to compute and storage resources enhances productivity, enabling simultaneous testing while helping boost efficiency.

Predictability and visibility

Presenting a comprehensive view of the various functions by timelines, time for closure and any potential roadblocks.


Hyperscalers offer a comprehensive suite of automated tools, state-of-the-art best practices like encryption of data in flight and at rest.

Moving to action

Determine which workloads belong in the cloud

EDA workloads require specific hardware configurations. It’s essential to match the workload to the appropriate instance to get optimal performance.

Be mindful of data cost

Data management should be a key consideration in the decision of which workloads to deploy to the public cloud and which to leave on premises.

Focus on value

As soon as the infrastructure-that is the tool for doing business-is provided by a CSP, companies should move capacity to a public infrastructure.

Start small

Organizations should run a pilot project to learn the process, uncover weaknesses and make any failures on a small scale.

Don’t go it alone

Semiconductor companies should work with software vendors, CSPs, system integrators and/or server OEMs for guidance for a successful pivot.

About the Authors

Syed Alam

Managing Director – High Tech, Global Lead

Jason Mitchell

Managing Director – High Tech, Cloud, Global

Nick Sidhu

Managing Director – Intelligent Cloud & Infrastructure, North America

Harmandeep Ahuja

Managing Director – Strategy & Consulting, Technology Strategy & Advisory

Harish Ananthamurthy

Director – Technology, Product Engineering Services, North America

Visit our Subscription and Preference Center