Category: Semiconductor

Semiconductor chip design is a compute intensive, expensive process. Exostellar is an AWS partner that developed Exostellar Infrastructure Optimizer to allow chip designers to minimize the risk of using Amazon EC2 Spot Instances for long-running, stateful electronic design automation (EDA) jobs. Amazon EC2 Spot Instances can provide up to 90% discounts compared to On-Demand pricing. […]

The semiconductor industry continues to witness rapid technological advancements, requiring design workflows to evolve for better performance, efficiency, and scalability. A major milestone in this evolution is the Taiwan Semiconductor Manufacturing Company (TSMC) certification of Siemens electronic design automation (EDA) tools on the AWS Cloud, which brings profound benefits to semiconductor designers and engineers across […]

The generative artificial intelligence (AI) transformation is driving unprecedented demand for chips that are required to train and run increasingly sophisticated machine learning (ML) models. In response, the semiconductor industry is designing advanced node chips that are more complex and have more transistors than ever before. For instance, the latest Nvidia Blackwell 4nm chip contains […]

The semiconductor industry is the backbone of technological innovation, powering everything from smartphones to cloud computing infrastructure. However, semiconductor manufacturers face mounting pressures to deliver better performance, efficiency, and reliability at lower costs. Key semiconductor industry challenges include: Design complexity and longer development cycles: Advanced semiconductor designs are incredibly complex, leading to prolonged design verification […]

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. […]

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 […]

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 at Annapurna Labs. AWS Graviton, an ARM based CPU as well as AWS Trainium and […]

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 be a challenging task. This blog post explains some challenges faced by the semiconductor industry […]

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) […]