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Introducing Synopsys Cloud

Cloud native EDA tools and pre-optimized hardware platforms. Experience unlimited EDA licenses with true pay-per-use on an hourly or per-minute basis.

You’ve heard the term high-performance computing (HPC) and wondered how it differs from cloud computing. Actually, it doesn’t have to be high-performance computing vs. cloud computing; often, HPC and cloud computing can work together to supercharge your computing power.

High-Performance Computing vs. Cloud Computing

Using HPC, you can power high-demand workloads that would be impossible to handle on traditional infrastructure by combining computing power across multiple computers, servers, or clusters. As opposed to supercomputers and hardware-accelerated machines, HPC uses distributed resources to combine storage, applications, computational power, and network resources.

In its simplest form, cloud computing involves delivering computing services over the Internet. Customers pay only for the cloud services they need, reducing operating costs, improving infrastructure performance, and enabling them to scale as needed.

Organizations are increasingly moving HPC workloads to the cloud to solve complex, performance-intensive problems. HPC in the cloud has changed the economics of product development and research by reducing prototype requirements, accelerating testing, and reducing time to market.

Benefits of HPC in the Cloud

Some of the more significant benefits of HPC in the cloud include the following:


Workload Capacity 

HPC today focuses on computationally challenging tasks like running machine learning algorithms or neural networks, sequencing genomic data, or analyzing terabytes of data. HPC in the cloud supports the workloads that make these tasks possible.


Cloud Bursting 

Workloads aren't all the same, and tasks don't require the same resources every day or every hour. Using cloud environments, you can rapidly provision cloud resources when you need them and then throttle them back when you don't.


Backup and Recovery

HPC workloads rely heavily on data. HPC in the cloud supports high-performance computation, backups, and recovery. The cloud can automatically back up your data to hot and cold storage for long-term protection. HPC in the cloud can provide immediate recovery in an emergency or catastrophe with hot backups.

Enabling New Opportunities for Chip Designers

HPC is often required to support electronic design automation (EDA) workloads, such as a cluster of compute nodes, job scheduling software, and a high-performance shared file system. Because the cloud has virtually unlimited CPU and GPU resources, chip designers can run many EDA jobs in parallel. Using this process, designers get results faster and gain added business value.

Key performance improvements for EDA using HPC in the cloud include: 

  • Efficient license use EDA tools are often among the most expensive line items for chip makers, so more efficient utilization reduces costs and speeds up time-to-market.
  • Increased productivity: By reducing job wait and run times and delivering products faster, HPC in the cloud increases engineers' productivity.
  • Costs: Lower infrastructure costs allow you to allocate more resources to research and development and chip design.

Organizations may run multiple chip projects at once, so resource allocation can be tricky. An on-premises compute cluster that's too small can slow time-to-market, while an oversized cluster can waste resources. 

Cloud HPC services often offer elastic clusters that can grow and shrink as your workload changes. By scaling compute resources anytime, you can reduce the risk of licenses becoming unavailable. 

The global market is growing as more industries turn to HPC. It's easier to optimize chip design with cloud performance becoming more reliable, secure, and robust. Chip makers can optimize license utilization, engineering productivity, and costs with elastic clusters in cloud-based HPC, allowing efficient innovation in the next generation of chips.

Synopsys Cloud combines HPC in the cloud with unlimited access to EDA software licenses. By partnering with top cloud providers, we have optimized infrastructure configurations, removing the guesswork so that EDA can deploy in the cloud rapidly and securely.

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.


Take a Test Drive!

Synopsys technology drives innovations that change how people work and play using high-performance silicon chips. Let Synopsys power your innovation journey with cloud-based EDA tools. Sign up to try Synopsys Cloud for free!

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