AWS for Industries

Tag: EDA

Flexible EDA licensing in AWS with Synopsys Cloud BYOC with FlexEDA

Electronic Design Automation (EDA) tools are critical for designing silicon chips. In the cloud, pay-per-use mechanisms are the norm, but this traditionally isn’t the case for EDA licensing which can limit organizations’ ability to scale EDA on AWS. Synopsys Cloud Bring Your Own Cloud (BYOC) with FlexEDA is a groundbreaking solution that addresses this need. […]

Generative AI for Semiconductor Design and Verification

The emergence of generative AI presents tremendous opportunities for advancing technical and business processes in high tech and semiconductor industries. From optimizing complex system design processes to accelerating time-to-market for new products, generative AI has unlimited potential to improve engineering and manufacturing methodologies and processes. Generative design methodologies powered by AI can automatically design chips […]

Cut time to results without changing your EDA flows

Using advanced node technology to successfully manufacture a chip is getting harder as chip geometries continue to shrink. Electronic Design Automation (EDA) consumes more compute, storage, and time. Giving your engineers more time to iterate and find bugs in the design and verification phases will result in saving millions in re-spins and lost revenue. Further […]

iFood modernizes its financial middleware to event-driven architecture feature card

iFood modernizes its financial middleware to event-driven architecture

The iFood finance department originally used a monolithic application, which was slow to develop new functionalities. Switching to an event-oriented architecture not only accelerated development but also added resilience and performance to its financial middleware. The iFood finance department has a platform called Digital by You (DBY) that helps food lovers (approximately 100,000 iFood employees) […]

Solution for Open-Source Chip Design on AWS

In this blog, we discuss the benefits of using open-source electronic design automation (EDA) software, which is required for designing integrated circuits. We also discuss why AWS is the best platform to do open-source chip design and an effective means to collaborate and enable academia and chip design teams with a lower budget to design […]

Fast queries of scRNAseq datasets with Amazon Athena

Fast queries of scRNAseq datasets with Amazon Athena

Single cell RNA sequencing data has a growing role in disease research for finding both potential genetic factors and paths to new treatments. An important component of this process involves building maps of sequencing data with dimensionality reduction tools and querying specific subsets for visualization, but this can be slow due to the size of […]

Sustainability Reporting Considerations for the Semiconductor Industry

Introduction The Semiconductor Industry is working to establish Environmental, Social, and Corporate Governance (ESG) standards with the help of science-based targets. As a result, there is an increasing demand to collect and understand operational and product related data for accounting, reporting and optimization. Businesses are now looking to assume responsibility for their products across their […]

Economics of EDA on AWS: License Cost Optimization

Introduction Electronic Design Automation (EDA) workloads have traditionally run on-premises on a combination of latest and older generation compute servers. The performance penalty of running Electronic Design Automation (EDA) on older generation hardware is often neglected in discussions and Total Cost of Ownership (TCO) models. With EDA license costs greatly exceeding IT spend in silicon […]

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 […]

Using Cadence’s Pegasus Physical Verification with TrueCloud, customers benefit from 2X walltime savings using Amazon EC2 X2iezn Instances

Introduction Silicon designers are creating increasingly complex designs to address ever-increasing demand from customers. Increased complexity poses challenges to electronic design automation (EDA) applications that help with manufacturability and functionality of the designs on silicon. Physical verification is an integral part of the silicon design system that identifies design layout issues prior to its production […]