A leading aerospace engineering organization migrated mission-critical Ansys workloads to a secure AWS GovCloud platform powered by Research & Engineering Studio, replacing fixed-capacity on-premises HPC with elastic, on-demand compute.
A leading aerospace and space technology organization sought to modernize its engineering simulation environment by migrating from a traditional on-premises tower-based HPC infrastructure running Ansys workloads to a secure, scalable cloud-native platform.
The organization relied on high-performance simulation applications including:
- Ansys Thermal Dynamics
- Ansys Premium SIwave Plus
- Ansys CFD (Computational Fluid Dynamics)
- Ansys Mechanical Enterprise
To improve scalability, reduce infrastructure constraints, accelerate simulation turnaround times, and support stringent government compliance requirements, RelevanceLab designed and implemented a secure AWS Research and Engineering Studio (RES) environment within AWS GovCloud.
The solution enabled engineers to seamlessly access cloud-based virtual workstations, elastically scale HPC resources on demand, and continue leveraging existing engineering workflows without disrupting ongoing research and development programs.
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Technical Deployment Blueprint
Inside a secure, GovCloud-compliant engineering platform: RES architecture, elastic HPC provisioning, Ansys integration, identity federation, and the full implementation methodology.
View the Full Case StudyCustomer Challenges
The customer's existing engineering environment faced several operational and technical limitations:
Solution
Relevance Lab implemented a private deployment of AWS Research & Engineering Studio (RES) in AWS GovCloud, integrated with enterprise identity services and high-performance storage.
The solution provided:
- Cloud-hosted engineering workstations
- Elastic HPC clusters powered by AWS Parallel Computing Service (PCS)
- Centralized identity and access management
- Integrated Ansys license management
- Shared high-performance storage using Amazon FSx for NetApp ONTAP
- Automated user onboarding and desktop provisioning
- Secure remote access through VPN and controlled network boundaries
Target Architecture
The engineering environment was built around AWS Research & Engineering Studio, providing engineers with virtual desktops connected to scalable HPC resources and shared storage.
Key Capabilities
- Linux and Windows engineering desktops
- Pre-installed engineering applications
- Shared engineering datasets
- Integration with Active Directory
- Elastic HPC cluster provisioning
- License server integration
- Automated AMI management pipelines
Private AWS GovCloud Deployment Architecture
The production implementation was deployed in AWS GovCloud using a private architecture model. The deployment included:
Relevance Lab Implementation Approach
Why Relevance Lab
Relevance Lab combines deep expertise across AWS Research & Engineering Studio (RES), GovCloud deployments, engineering simulation platforms, high performance computing (HPC), enterprise identity integration, and infrastructure automation.
Our team delivered a secure, scalable engineering platform that enables engineering teams to innovate faster while maintaining governance, security, and operational excellence.