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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 Continue reading Flexible EDA licensing in AWS with Synopsys Cloud BYOC with FlexEDA
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 Continue reading Generative AI for Semiconductor Design
Amazon is also a fabless semiconductor company. Several tapeouts are completed every year that result in products like Kindle, FireTV, Echo, etc. Amazon Web Services (AWS) does its inhouse semiconductor design for its data center operations through its internal team Continue reading Accelerate chip-design verification process by running Siemens EDA Calibre on AWS
The semiconductor industry, known for its intricate manufacturing processes, generates a vast amount of sensor data crucial for analytics and machine learning. However, due to legacy systems and complex data infrastructure, collecting this data in real-time and at scale can Continue reading Accelerate Semiconductor machine learning initiatives with Amazon Bedrock
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 Continue reading Cut time to results without changing your EDA flows
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 Continue reading Optimizing HPC deployments with EC2 Fleet and IBM Spectrum LSF
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 Continue reading Faster post–silicon analysis with an AWS data lake
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 Continue reading Predictive Maintenance for Semiconductor Manufacturers with SEEQ powered by AWS
Challenges of New Product Development in Electronics Manufacturing The pressures of miniaturization, functional complexity, customer quality demands, costs and margin, competition, and environmental expectations make the development and production of electronic devices harder than ever before. They have become more Continue reading Manufacturing Optimization for the Electronics Industry: How to Accelerate Product Development and Drive Engineering Efficiency with Instrumental Inc. on AWS