AWS for Industries

Category: Best Practices

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 […]

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 […]

Visit AWS at SEMICON West and DAC, July 12-14 in San Francisco, CA

This year AWS is excited to exhibit at SEMICON West in San Francisco, July 12-14, 2022. Read this blog to learn more about the show, our booth exhibit, speaking sessions, and opportunities to engage with us at both SEMICON West and DAC. One ticket, two conferences! About SEMICON West and DAC SEMICON West 2022 connects […]

Predict the cost of Electronic Design Automation on AWS using simulation

Introduction Designing semiconductor requires High Performance Computing (HPC) to run Electronic Design Automation (EDA) tools. These workloads vary over time in both the amount and type of compute resources required. This makes it an ideal workload for the elasticity of the cloud. Customers choose optimal instance types to optimize each tools runtime. This reduces time-to-results […]

Getting Started with the Industrial Data Platform on AWS

Data is the key enabler to digital transformation and Industry 4.0. Manufacturers can use data to realize a single view of operations and derive operational insights. These insights can be used to improve production quality, make real-time prediction, and generate cost savings. Big Data analytics techniques can provide new capabilities related to measuring performance, maintenance, […]

Industrial Personnel & Hazard Tracking with Amazon Location Service

Introduction Hot work is defined as any operation that could be an origin of ignition in an environment with flammable materials. According to the U.S. Chemical Safety and Hazard Investigation Board (CSB), hot work is one of the most common causes of worker death. It is also leading cause of industrial fires. A hot work […]

Simplifying microelectronics education labs with Ruby Cherry EDA on AWS

University faculty members and non-profit organizations looking to improve the training experience for the next generation of microelectronics engineers face multiple challenges with the computing environment required, both technical and organizational. In this blog we will review these challenges, and how to solve them using ready-made solutions on AWS and how these solutions can scale […]

AWS delivers on the promise of Industry 4.0 at The Smart Factory @ Wichita

Deloitte’s Smart Factory Accelerator built on AWS contextualizes the factory of the future through immersive, sustainable experiential lab at Wichita State University’s Innovation Campus Making “factory of the future” a reality For years, the promise of the “factory of the future” was a distant dream; automated design, production, and delivery logistics all managed via a […]

How NXP is Moving Chip Design to AWS

In 2021, NXP selected AWS as its preferred cloud partner to migrate the vast majority of its silicon design workloads from NXP data centers to AWS. The migration is well underway, and a number of teams have already taped out projects in their AWS cloud environment. In this blog post, we share more about NXP’s […]