Electronic Design Automation (EDA)

Leading edge process technologies and continued time to market pressures are driving the transition to cloud
for both chip design and manufacturing.

Shrink Cycle Times for New
Chip Development

EDA workflow requirements vary widely. On the frontend are massively parallel RTL simulations with up to a million metadata-heavy small files. On the backend are the processing demands of large physical and manufacturing files. EDA infrastructures need the flexibility to support the necessary performance requirements (latency, IOPs, and throughput) of highly parallel and often bursty EDA workflows.

The cloud is clearly the next phase of development for modern EDA workflow design. Traditional EDA workflows are being strained to support the levels of compute and storage leading edge process technologies like 10nm, 7nm and 5nm require. This is placing a heavier burden on IT infrastructures than traditional on premises solutions can bear. When organizations take advantage of cloud elasticity they can operate EDA workflows at lower costs when not busy and rapidly scale when more resources are needed. This is why, as EDA vendors, designers, and semiconductor manufacturers develop more integrated workflows, the cloud will be the next logical phase of integration.

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The Right Cloud Storage Makes 
the Difference

Choosing the right storage in the cloud is critical to deliver the performance, security, and functional capabilities required for this new age of cloud EDA workflow. Cloud storage must be flexible enough to match the changing and demanding compute requirements of the EDA process. NetApp brings nearly 30 years of storage leadership to the cloud, offering the highest performing cloud file services and the richest feature set to empower modern EDA workflows.

Explore the NetApp performance benchmarks for EDA workloads:

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NetApp Delivers Industry Leading Storage Solutions on the
Biggest Clouds, Azure, Google Cloud, and AWS

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Performance

Achieve consistent millisecond latency, over 300k IOPs, and massive throughput to accelerate timing analysis, front end design, and backend design.

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Security

Benefit from the latest security and encryption technologies to ensure only the right people have access to your data.

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Project Tiering

Improve workflow efficiency with space efficient Snapshot™ technology and thin cloning. Lessen the impact of interruptions and avoid rebuilding project databases.

Get Started on Your Choice of Cloud

NetApp is the leader in shared cloud storage

Customer Stories

Learn what NetApp is doing to help drive new capabilities for EDA in the cloud.

Mellanox Technologies Delivers a Testing, Research, and Design Infrastructure in the Cloud.

With NetApp Cloud Volumes ONTAP, Mellanox experienced a 69% reduction in the production data footprint by using data deduplication and now has 90% of the disaster recovery cold data tiered to lower-cost object storage.

We looked for a cloud storage solution that could integrate with on-premises deployment. That is the main reason we came to NetApp. We examined a few vendor products and checked their offerings. NetApp was the most mature. It had capabilities on the cloud that competitors couldn’t offer.

Nir Boyarsky, Mellanox storage team leader
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Synopsys, Google Cloud, and NetApp Lead the Way for Deploying Functional Verification Workloads in the Cloud

NetApp is working closely with Synopsys and Google Cloud to deliver the next generation infrastructure to support functional verification workloads in the cloud.

Together, Synopsys, Google Cloud, and NetApp Cloud Volumes Service enable customers to transform their EDA workflows with the simplicity and flexibility of the cloud, backed by the reliability, performance, and availability required for even the most demanding applications like Synopsys' VCS functional verification.

Anthony Lye, Senior Vice President, Cloud Data Services, NetApp
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