When an automotive engineer needs to run a crash simulation, they often spend hours provisioning compute resources, transferring CAD files between disconnected tools, and waiting for IT to approve access to the right software licenses. By the time the simulation is complete, the design review has already passed, and the team is another sprint behind.

Product development teams across automotive, robotics, industrial, and consumer electronics face this challenge daily: a fragmented landscape of tools, data silos, and compute constraints that slow the path from concept to validated design.

Today, we are announcing Engineering Development Hub (EDH), a unified, cloud-based engineering workbench that brings together the applications, compute, and data you need to design, test, and validate complex systems—all in a single, open source environment.

What Engineering Development Hub does for you

EDH is part of the Digital Engineering Framework (DEF), a single toolset built to manage engineering resources and product data from any source for next-generation product development, with built-in AI capabilities and enterprise-grade security.

EDH consolidates the disconnected steps of a typical engineering workflow into one managed experience. Instead of switching between a local CAD workstation, a separate simulation environment, and a shared file server, you access all your tools side by side through a single interface.

EDH offers the following key features:

• Unified ISV tool access – EDH integrates with leading independent software vendor (ISV) applications for CAD, CAE, EDA, and embedded software development. You launch the tools you need from one workspace, with license management handled for you, reducing environment provisioning time from days to minutes.
• Managed, auto-scaled compute – When you submit a simulation job, EDH automatically provisions the right Amazon Elastic Compute Cloud (Amazon EC2) instances—including GPU-accelerated and high-memory configurations—and scales them back down when the job is complete. You pay only for the compute you use, without managing infrastructure.
• Built-in engineering assistant – EDH includes an engineering assistant application powered by Amazon Bedrock that brings generative AI directly into your workflow. For example, you can ask the assistant to analyze thermal simulation results across 50 design variants and surface the three configurations that meet both weight and heat dissipation targets—a task that previously required hours of manual comparison.

Engineering Development Hub in real life

Consider a robotics OEM developing a new robotic arm. Before EDH, the mechanical engineer designs the arm in a CAD tool on a local workstation, exports the model, uploads it to a shared drive, then opens a separate simulation tool on a remote desktop. They wait for compute allocation, run a stress simulation, and manually transfer results back for the design review.

With EDH, the same engineer opens their CAD and simulation tools side by side in a single session. They run the stress simulation on automatically scaled compute, ask the AI assistant to compare results against the previous design iteration, and share a validated model with the embedded software team—all from one environment, without a single file transfer.

Customers like Amazon Lab126 and Rivian are already using EDH to transform their product development cycles. To see EDH in action, watch our demo video that shows real-life use cases for how EDH is helping accelerate engineering workflows, including physical AI imitation learning in NIVIDIA Isaac Sim and in-vehicle infotainment system development.

Getting started

EDH is available today in the US East (N. Virginia) and US West (Oregon) AWS Regions. To get started:

• Visit the AWS Engineering Development Hub detail page to learn more about capabilities and pricing.
• Explore the solution guidance on GitHub for reference architectures and deployment templates.
• Contact your AWS account team to schedule a walkthrough tailored to your engineering workflow.

Conclusion

In this post, we introduced Engineering Development Hub, a unified engineering workbench that brings together ISV tools, managed compute, and AI-powered assistance so you can move from design to validation in a single environment. Whether you are building next-generation vehicles, consumer electronics, or robotic systems, EDH helps you reduce infrastructure complexity and accelerate your product development cycle. Try EDH today, and tell us about your experience in the comments.

The following key improvements are included in the latest release:

• Support for AWS European Sovereign Cloud (EUSC) – EDH now supports deployment in the AWS European Sovereign Cloud environment
• Improved Active Directory configuration – Automatic deactivation (enabled by default) of the 42-day password expiration policy when deploying AWS Directory Service for Microsoft Active Directory
• Nested virtualization control – Users can now choose to enable or disable nested virtualization on EC2 instances
• Complete UI revamp – A refreshed UI inspired by the official CloudScape Design System framework for a more modern and consistent experience
• Support for AWS Batch – Built-in support for AWS Batch

Additionally, note the following:

• The channel name has been updated to #edh-interest
• The documentation is available at https://awslabs.github.io/engineering-development-hub-documentation/
• The Github repo has been updated to https://github.com/awslabs/engineering-development-hub (the old URL will automatically redirects you to the new one)