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Unlock the full potential of the cloud and innovate faster. AWS offers the broadest set of services, Solutions, and Guidance coupled with pre-built industry AWS Partner Solutions to make it easier to select the right tools for your highest-priority workloads. Use Engineering and Design Solutions on AWS to accelerate virtual product development, improve design testing and refinement, and streamline regulatory compliance processes.
Browse Solutions for engineering and design
Explore AWS Services, ready-to-deploy AWS Solutions, specialized Partner Solutions, and architectural Guidance for your engineering and design initiatives.
This Guidance demonstrates how to leverage AWS services to create digital twins for industrial Internet of Things (IoT), spatial compute, and simulation use cases.
This Guidance demonstrates how to create an intelligent manufacturing digital thread through a combination of knowledge graph and generative artificial intelligence (AI) technologies.
This Guidance shows how you can streamline and accelerate product development by building an MBDE for engineering and design. Using AWS as the foundation, you can create a modern cloud computing platform that is more secure, agile, and lightweight than on-premises document-based engineering environments. You can also use MBDE-generated models and data to build advanced analytics and generative models for predicting system behavior. The MBDE approach centralizes management of your tools, helping you identify product development risks early, improve overall development performance, and streamline collaboration with stakeholders.
This Guidance helps you orchestrate and deploy a Level 4 digital twin that is capable of self-calibration based on data from the physical entity and the environment.
This Guidance helps you centralize and automate the process of storing, converting, optimizing, and distributing 3D and 2D assets using serverless technologies.
This Guidance demonstrates how to launch simulation and machine learning compute tasks through distributed container orchestration, which automates the deployment of containers. One way is through TwinGraph, a workflow orchestration module that stores the metadata for each action in a graph that you can query for traceability and auditability. By using TwinGraph on AWS, you can build a hybrid, scalable solution that meets the technical requirements of your predictive modeling or simulation workloads without requiring you to write custom scripts for modeling frameworks.
