AWS for Manufacturing


Amazon Web Services (AWS) is helping manufacturing customers of all types and sizes transform their products and operations to provide greater business value.

AWS’ secure, agile, and scalable platform and comprehensive set of IoT, data lake, analytics, and machine learning tools allow you to develop smart factories and products, provide insights to increase your operational efficiency, and accelerate your pace of innovation. Our virtually unlimited storage and High Performance Computing capability enable you to innovate faster, rapidly design and verify new products, and scale seamlessly to meet increasing demand.

AWS allows you to focus your resources on creating new business opportunities for smart products and improve operational efficiencies across the value chain, while improving your security posture and lowering your IT and OT cost structure.

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Use Cases Across the Manufacturing Value Chain

Use Case: Product Design Simulation using High Performance Computing

High Performance Computing (HPC) allows product developers and engineers to solve complex problems using model-based design and large-scale, parallel simulations. HPC applications in product engineering often require high network performance, fast storage, large amounts of memory, very high compute capabilities, high performance graphics, or all of these. AWS enables you to accelerate time-to-results by running HPC in the cloud and scaling to larger numbers of parallel tasks than would be practical in most on-premises environments. AWS helps to reduce costs by providing CPU, GPU, and FPGA servers on-demand, optimized for specific applications, and without the need for large capital investments.

Featured Customer Case Study: Autodesk

Using AWS, allows Autodesk to scale the use of generative design to run hundreds of simulations in one hour instead of several hours or days. Autodesk develops software for the engineering, design, and entertainment industries. Using services including Amazon Relational Database Service (Amazon RDS) and Amazon Simple Storage Service (Amazon S3), Autodesk can focus on developing its machine-learning tools instead of managing infrastructure.

Brian Mathews, from Autodesk, at re:Invent 2017

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Benefits of AWS for Manufacturing


AWS IoT allows you to easily and securely connect your products and equipment anywhere in the world and use a variety of AWS services to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure. AWS Greengrass and Amazon FreeRTOS provides low-cost local compute, messaging, data caching, sync, and ML inference capabilities for connected devices.


AWS makes it easy to build and tailor your data lake allowing you to securely store, categorize, and analyze all your data in one, centralized repository. And a wide variety of powerful analytics products to process, analyze, visualize data easily and cost-effectively and provide real-time and predictive analytics to improve service levels, product quality, operational effectiveness, supply chain efficiency.


AWS virtually unlimited High Performance Compute (HPC) capacity allows you to improve your pace in innovation without the need for large capital investments. Running HPC in the cloud allows designers, scientists and engineers to solve complex, compute-intensive problems quickly enabling you to reduce time-to-results by scaling to larger numbers of parallel tasks than would be practical in most on-premises environments.


AWS' services have been designed to meet the requirements of the most security-sensitive organizations, allowing you to scale and innovate, while maintaining a secure environment, but without the upfront expenses, and at a lower cost than in an on-premises environment.


AWS pay-as-you-go, microservices and serverless computing models reduce the cost of running connected plant or product implementations. Minimum upfront investments and nearly unlimited on-depand capacity, you can focus on differentiating your business not on infrastructure.

Featured Customer Stories

“We chose AWS as the preferred cloud provider for GE because AWS’s industry leading cloud services have allowed us to push the boundaries, think big, and deliver better outcomes for GE.”

-Chris Drumgoole, CTO and Corporate VP

"We selected AWS because of its maturity in the market, breadth of services, and commitment to cybersecurity. AWS has a lot of experience running SAP HANA in the cloud, and that was huge for us"

- Jeff Wright, Cloud Service Sr. Manager

“We’ve listened to our customer’s demand for high availability and global scale, and are embracing a new AWS first approach to MindSphere”

- Steve Bashada, EVP Cloud Application Services

"AWS allows us to focus on simulation and generative design rather than on managing storage and databases, while bringing down the cost of computing and giving us the horsepower we need"

- Brian Mathews, VP Platform Engineering

AWS' services have been designed to meet the requirements of the most sec"With Amazon EC2 Spot Instances, we easily save 85–90% in costs. That, in turn, allows us to experiment with less risk and ultimately develop higher-quality products for our customers."

- Joe Gardner, Principal Cloud Architect

"AWS takes care of undifferentiated heavy lifting, and that helps us focus on developing innovative features and delivering great value to our customers."

-Ambs Kesavan, Software/DevOps Director

"AWS offers powerful tools and integration capabilities that enable us to use a serverless architecture that saves us the headaches of learning to scale."

- Ben Kehoe, Cloud Robotics Research Scientist

"We saw a 75% reduction in the cost per CFD simulation as soon as we started using Amazon EC2 Spot instances. We are able to pass those savings along to our customers–and be more competitive."

-Andrew McComas, Engineering Manager

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