AWS for Industries

Category: Best Practices

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 […]

AWS Industrial Insights Podcast Episode 9 Jon Ripley

Episode 9: Don’t move junk. Convince your leaders of a self-funding cloud migration with this 3-step approach.

About AWS Industrial Insights Welcome to AWS Industrial Insights. In every episode, we interview visionary leaders from industrial companies to share their insights on technology, innovation, and leadership. This podcast is for industrial business leaders who are looking to make data-driven decisions and learn from those who’ve experienced similar challenges. By interviewing leading executives, we’ll […]

Integrating OPC UA machine events into the Amazon Virtual Andon solution

Introduction In modern IT, everybody speaks about microservices and integration between different systems. But when we look at the shop floor, the reality is that there are a lot of different protocols depending on the machine vendor. Even when the protocol is well understood, there is still a need to implement protocol-specific adapters to convert […]

Architecture diagram showing how CPE telemetry and metadata can be sent to AWS to generate insights

Turning TR-069 bulk data into insights with AWS IoT Core and analytics services on AWS

Communications service providers (CSPs) often manage millions of customer premises equipment devices (CPEs) to provide services to their customers. These devices come in different types depending on the underlying communications technologies. Cable modems and xDSL modems, set-top boxes, and wireless routers are some examples of equipment types we see in customer environments. To manage those […]

Driving High Performance and Efficient Physical Verification with Synopsys IC Validator on Amazon EC2 X2iezn Instances

Introduction Chip designs are increasing in complexity and size, which has resulted in additional transistors driving a need for greater processing power and memory. Greater silicon complexity makes physical verification with electronic design automation (EDA) applications more essential as any delays close to tape-out significantly impact production timelines. Silicon designers now require increased CPU and […]