Cloud Deployment for the Best EDA Workspace | Synopsys Cloud

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Cloud deployment refers to the utilization of software, platform, or infrastructure as a service (SaaS, PaaS, or IaaS) solutions that will be accessed by end-users and consumers.

The cloud deployment model signifies the type of computing architecture on which the solution is implemented.

A robust and well-planned cloud deployment model is essential for EDA workspaces and introduces a variety of benefits that we’ll discuss below. 


Cloud Deployment Models

Cloud deployment involve SaaS, PaaS, and IaaS solution management. There are two methods that organizations typically follow: 

  1. A community cloud or public cloud model. 
  2. A private cloud deployment model (often deployed by a single entity).

The cloud deployment model is specifically related to how environmental parameters are configured for infrastructure deployment and accomplished through the following methods:

  • A public cloud owned by a third-party and available to anyone through cloud service providers (CSPs).
  • A private cloud (also offered by CSPs) with additional security and other customizable options.
  • Community clouds allowing similar organizations to work together and reduce costs. 
  • A hybrid cloud using a combination of these methods. 

 

Cloud Computing Deployment Models | Synopsys Cloud

Cloud Deployment Solutions for EDA

For large corporations that have substantial on-premises infrastructure, a common approach to leverage cloud for peak needs is through a hybrid configuration. However, hybrid solutions are complex to setup and manage. To enable hybrid cloud solutions, corporate IT teams work with CSPs to deploy IaaS or PaaS.

Startups and smaller companies typically want to take a born-in-the-cloud approach for their computing needs. This trend is becoming more common as it lowers the capital expenditure while helping these companies to be more agile. This generally fits the PaaS deployment model, as it offloads the management of infrastructure to the cloud providers. Also, these companies prefer to use the software as a service (SaaS) deployment option to minimize overhead of purchasing and maintaining software to run on cloud infrastructure.

For EDA, specifically, there are significant benefits in choosing SaaS over other traditional methods.

One such benefit is scalability. SaaS users can be added or subtracted to meet developmental needs without increased capital investments or additional hardware or software requirements. This can alleviate bottlenecks in development where too few seats and resources for computation during peak developmental times are available. Likewise, SaaS deployments can save resources that otherwise would be wasted during non-peak periods.

With SaaS, Paas, or IaaS solutions, end-user provisioning can occur based on preconfigured permissions, ensuring all users have access to the data they need based on their role. 


EDA Workspace Cloud Deployment Benefits

By creating EDA workspaces with a well-planned cloud deployment method, organizations gain several advantages:

  • Faster deployment for businesses through builds that deploy code, application releases, and databases.
  • More efficient costs through consumption-based pricing.
  • Room for growth using CSPs to expand business operations seamlessly into new regions.
  • New features and services from CSPs allowing organizations to innovate new technologies and develop new business models.
  • Scalability features to meet developmental demands.
  • Accessibility features users can reach the data they need from any location or device. 
  • Reduced time to market for new features. 

With cloud services, organizations do not need to maintain their infrastructure. Instead, they can focus on projects and tests without worrying about the supporting infrastructure. Companies concerned about their data can always utilize a hybrid approach that also allows specific data to be maintained on-premises if needed. 


Synopsys, EDA, and the Cloud

Synopsys is the industry’s largest provider of electronic design automation (EDA) technology used in the design and verification of semiconductor devices, or chips. With Synopsys Cloud, we’re taking EDA to new heights, combining the availability of advanced compute and storage infrastructure with unlimited access to EDA software licenses on-demand so you can focus on what you do best – designing chips, faster. Delivering cloud-native EDA tools and pre-optimized hardware platforms, an extremely flexible business model, and a modern customer experience, Synopsys has reimagined the future of chip design on the cloud, without disrupting proven workflows.

 

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About The Author

Sridhar Panchapakesan is the Senior Director, Cloud Engagements at Synopsys, responsible for enabling customers to successfully adopt cloud solutions for their EDA workflows. He drives cloud-centric initiatives, marketing, and collaboration efforts with foundry partners, cloud vendors and strategic customers at Synopsys. He has 25+ years’ experience in the EDA industry and is especially skilled in managing and driving business-critical engagements at top-tier customers. He has a MBA degree from the Haas School of Business, UC Berkeley and a MSEE from the University of Houston.

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