AWS for Industries
Tag: FSx NetApp
The Business and Engineering Benefits of FSx for NetApp ONTAP for Product Engineering Workloads
In the competitive landscape of modern engineering, businesses continually seek ways to enhance productivity, streamline operations, and reduce costs. Product engineering involves complex simulations and computations, requiring robust and efficient data storage solutions for Computer Aided Engineering (CAE) applications. FSx for NetApp ONTAP, a fully managed service that provides high-performance, scalable file storage, addresses all […]
The Benefits of PLM on AWS for Manufacturers
Manufacturers often utilize Product Lifecycle Management (PLM) software for key benefits such as improved product quality, effective collaboration, reduced development costs, and faster time to market. The PLM solutions on AWS can help businesses meet availability and compliance requirements, while also achieving increased PLM performance, reducing cost and eliminating data silos. PLM solutions on AWS, […]
Securely and efficiently leverage your Operational Technology and Information Technology data in the cloud for new insights and disaster recovery using Ignition, NetApp and AWS
Introduction Industrial companies are actively pursuing strategic advantages of modernizing their operational technology (OT) and Information Technology (IT) to drive business value, but are limited by fixed storage and compute capacity available onsite. Data scientists and process engineering leaders recognize the need to leverage this operational data to gain insights, optimize processes, and enhance business […]
Scaling chip design processes with high velocity in the cloud
Shift left – a path to faster and better SOC quality A revolution is happening in the chip design industry. A revolution that allows projects to finish earlier, with fewer bugs, while budget stays in control. In this article, I’ll share my personal view on a few related bottlenecks that directly affect time to market […]
EDA Scale with FSx for NetApp ONTAP and IBM LSF
Introduction Silicon design teams are constantly under pressure to deliver more efficient products faster, while keeping costs low. Electronic Design Automation (EDA) infrastructure teams, which provide compute, storage, and other IT resources to silicon design teams, can play a critical role in shrinking the RTL-to-GDSII cycle. Historically, compute capacity for EDA workloads has come from […]
Accelerating EDA with the Agility of AWS and NetApp Data Services
Introduction This post will walk you through the configuration of this powerful EDA solution and provide performance benchmarks. Semiconductor design simulation, verification, lithography, metrology, yield analysis, and many other workloads benefit from the scalability and performance of the AWS Cloud. For example, the by latest generation EC2 instance types enhance compute performance for these applications. […]