AWS for Industries

Tag: semiconductor

Faster post–silicon analysis with an AWS data lake

Manufacturing semiconductor devices using advanced nodes have many challenges, but perhaps none is more directly linked to the company’s profitability and competitive position than yield. Yield improvements directly reduce the cost of manufacturing a single die while also helping the company amortize the development costs across more dies. There are great commercial products helping customers […]

Predictive Maintenance for Semiconductor Manufacturers with SEEQ powered by AWS

Introduction Semiconductor chips have become an indispensable part of our lives with the advancements driven by technologies like 5G, Internet of Things (IoT) and Artificial Intelligence (AI) / Machine Learning (ML). Semiconductor chips power a broad range of devices, including consumer devices, automobiles, smart cities and homes, data centers, and more. The increased demand for […]

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 […]

Tehama leverages Graviton cost efficiency to strengthen business core competency

Introduction AWS designed Graviton processors aiming to deliver the best price-performance for cloud computing. Since it launched in 2018, many customers of different sizes (start-ups to enterprises) have adopted Graviton for various workloads. Tehama, the world’s first Carrier for Work, has embraced the cost savings and environmental benefits associated with AWS Graviton for their all-in-one […]

Optimizing HPC deployments with EC2 Fleet and IBM Spectrum LSF

Introduction High performance computing (HPC) workloads are becoming complex with the advent of big data, advanced node electronic design automation (EDA) for chip design, and high-precision verification. Enterprises are adopting Amazon Web Services (AWS) to meet the constantly growing compute demands in HPC. Worldwide HPC in the Cloud Forecast 2020–2026 from Hyperion Research (June 2022) […]

Increasing fab productivity through data classification

Introduction Semiconductor manufacturing has become incredibly complex and the effort it takes to get electronics in front of the end customer at a reasonable price point is very challenging. This coupled with the chip shortage, and the cost and time to build fabs to increase capacity, has led to companies focusing on improving productivity. A […]

Siemens EDA’s Calibre nmDRC on Amazon EC2 X2iezn achieves high-performance and resource savings

Introduction This blog will help you understand how you can utilize Amazon EC2 X2iezn instances to expedite the semiconductor physical verification process using Calibre Physical Verification tools from Siemens EDA. As semiconductor devices increase in density and complexity, the physical verification phase of the chip design process requires compute nodes with increasingly high memory-to-core ratio, […]

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 […]

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 […]

Semiconductor Supply Chain Resiliency with AWS

Introduction AWS can help Semiconductor companies with their value chain transformation by migrating the entire PLM-CAD-ERP workflow to the cloud while mitigating resource and performance risks. Data ingested from SAP into AWS-powered data lakes and Amazon SageMaker for machine learning is used for predictive analytics and simulation of various scenarios. For example, to address supply […]