WEBINAR: Why Google Cloud NetApp Volumes Matter for Modern EDA Workloads

In this webinar, Google Cloud and NetApp explore how semiconductor companies can address the growing infrastructure demands of modern Electronic Design Automation (EDA) workflows. As process technologies continue to advance and chip designs become increasingly complex, engineering teams require scalable, high-performance infrastructure capable of supporting massive datasets, large compute clusters, and demanding storage requirements. Google Cloud NetApp Volumes is presented as a key technology that helps organizations modernize EDA environments while improving performance, scalability, and operational efficiency.

REGISTER HERE

The webinar highlights the unique characteristics of EDA workloads and why they place extraordinary demands on storage systems. Front-end design and verification processes generate millions of small files and metadata operations that require low-latency access and high IOPS performance. Back-end design, physical verification, and signoff workloads create large sequential data streams that demand substantial throughput and parallel access capabilities. In addition, production testing and silicon validation workflows generate significant volumes of simulation outputs, test vectors, and manufacturing data that must be stored, managed, and analyzed efficiently.

A major theme of the discussion is the scale of modern semiconductor development. Today’s projects can generate hundreds of terabytes of data and involve deeply nested directory structures containing millions or even billions of files. Engineering teams are often distributed across multiple geographic locations and require secure, high-performance access to shared design libraries, intellectual property (IP), and verification results. The presenters emphasize that storage bottlenecks can directly impact engineering productivity, delay project milestones, and extend time-to-market.

The webinar also examines how Google Cloud has developed a comprehensive ecosystem for semiconductor design. This ecosystem includes high-performance compute instances, GPU accelerators, workload scheduling technologies, and cloud-native management tools designed to support EDA, HPC, and AI-driven workflows. However, the presenters stress that compute resources alone are not enough. To fully realize the benefits of cloud-based EDA, organizations need storage infrastructure capable of delivering consistent performance at scale.

Another important discussion point is cloud elasticity. Semiconductor workloads often experience significant fluctuations in resource demand, particularly during verification cycles, tape-out preparation, and signoff activities. Google Cloud enables organizations to scale compute resources on demand, while NetApp Volumes allows storage capacity and performance to scale alongside those workloads. This flexibility helps organizations avoid the costs associated with overprovisioning traditional on-premises infrastructure.

The webinar concludes by emphasizing that storage performance and scalability have become critical factors in semiconductor innovation. By combining Google Cloud’s scalable infrastructure with NetApp’s enterprise storage technology, organizations can improve resource utilization, accelerate design cycles, support hybrid cloud strategies, and enable the next generation of EDA workloads. As semiconductor complexity continues to increase, solutions such as Google Cloud NetApp Volumes are positioned as an important foundation for future design environments.

REGISTER HERE

SPEAKERS:

Oliver Krause – Principal Product Manager

Oliver Krause is a product manager at NetApp for Google Cloud NetApp Volumes. He has over 25 years experience working with large and small companies to architect the right solution for their data storage needs.

Raja Sandireddy, Product Manager, Google Cloud Raja

Sandireddy is a seasoned Product Leader with over 20 years of experience spanning product management, marketing, and software engineering. Currently a Product Manager at Google Cloud, driving Cloud Storage innovations for Google Cloud NetApp Volumes, with prior ownership of Cloud Compute solutions.

Also Read:

Panel Discission: Beyond Moore’s Law and the Future of Semiconductor Manufacturing

WEBINAR: Beyond Moore’s Law and The Future of Semiconductor Manufacturing Intelligence

GTC 2026: Agentic AI for Semiconductor Design and Manufacturing