Different Types of Cloud Computing for EDA
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When most individuals refer to the cloud, they are discussing distributed data centers that deliver resources over the Internet. There are three cloud computing types: public, private, and hybrid.

Choosing the right type of cloud computing for your business can be tricky. Each cloud is a little bit different, even clouds of the same type. The way clouds implement their services varies. Understanding the different cloud types can help you make the right decision to accelerate your organization’s workflow. 


Similarities in Cloud Computing

Regardless of type, each cloud pools and shares scalable computing resources across a network. Additionally, they all run various workloads, known as cloud computing. Many of the shared technologies that exist in each cloud include an operating system, management platform, and API. Clouds often have automation and virtualization software that can increase capabilities. 


The Different Types of Cloud Computing

The various types of cloud computing are also known as deployment models. 

 

Public Clouds 

Public clouds are environments that the end user doesn’t own. Examples of public clouds include AWS, Google Cloud, Microsoft Azure, IBM Cloud, and Alibaba cloud. 

With public clouds, environments are partitioned and distributed across multiple organizations. All organizations share the public cloud infrastructure. Due to the space available, scalability is much easier.

Many public clouds have associated fees, often under a pay-per-use model, which makes them appropriate for smaller businesses. The cloud provider is responsible for upkeeping the instances.

Advantages

  • Highly scalable
  • No geographical restrictions
  • Cloud providers upkeep services
  • Cost-efffective (pay-as-you-go)
  • Efficient remote colaboration
  • Reliable source

Disadvantages

  • Restricted customization
  • Decreased autonomy over servers
  • Potentially less secure
  • Limited transfer capabilities to other providers
  • Not ideal for sensitive projects

 

Private Clouds 

Private clouds consist of cloud environments that are dedicated to a single organization. The environment runs behind the organization’s firewall. By isolating the resources and IT infrastructure, a cloud becomes a private cloud. 

You can now rent private clouds through vendor-owned data centers off-premises, nullifying many geographical restrictions. With this change, private clouds can be deployed, configured, and managed by a third-party vendor. There are also dedicated private clouds, which consist of a cloud within another private or public cloud. 

Although they are often more expensive, private clouds are especially well-suited for large organizations that require strict regulation. They focus on security, customizability, and computing power.

Advantages

  • Higher security
  • More server autonomy
  • Customizable
  • No sudden changes to disrupt operations

Disadvantages

  • IT personnel expertise to maintain
  • Comparatively more expensive

 

Hybrid Clouds 

Hybrid clouds consist of seamless IT environments made from multiple environments connected through wide area networks (WANs), virtual private networks (VPNs), APIs, and local area networks (LANs). 

Essentially, hybrid clouds are a combination of various clouds that create a model tailored to a specific platform. Hybrid clouds can be the most complex cloud model. Each has different requirements. Hybrid clouds can include one private cloud and at least one public cloud, two or more private clouds, two or more public clouds, or a virtual environment connected to one public or private cloud. 

One of these aforementioned environments must be sourced from IT resources with the ability to scale. Most importantly, these many environments must be managed from a single environment that connects them through an integrated management platform. 

A couple of internal hybrid cloud configurations exist. In a cloudbusting configuration, programs run on the private cloud until the system is taxed. The system then expands to use the public cloud for additional processing capabilities. Another common configuration involves internal applications running on the private cloud with external services on the public cloud.

Advantages

  • More secure tahn public clouds
  • Highly economic
  • Greater flexibility
  • Security for proprietary applications

Disadvantages

  • Must set up communication channels between public and private clouds
  • Sharing data in a seamless method requieres development and configuration time

Choosing the Right Type for Your EDA Environment

Choosing the right deployment model for your EDA workload depends on your applications and desired model. Do you want to incur more capital expenses (CapEx) or operating expenses (OpEx) —scaling up or scaling out? With the public cloud, there are unlimited resources you can access by operational expenses. 

On the other hand, utilizing a private cloud necessitates renting or purchasing hardware, a significant amount of capital expenses. With hybrid clouds, you have the option of scaling up with capital expenses or scaling out with operating expenses. 

Consider what aspects of your workload require what level of security, accessibility, and customizability. Content that is strictly regulated and secured might be better suited for a private cloud. Other not-as-critical workloads, however, may work fine on a public cloud. Utilizing a hybrid cloud, in this case, might be an appropriate solution.


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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