Tag: semiconductor

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 […]

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 […]

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) […]

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 […]

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 […]

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 […]

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 […]

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 […]

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, […]

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 […]