Modernizing Scientific Computing and Engineering Design Workloads on AWS

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, Relevance Lab 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.

Customer Challenges

The customer's existing engineering environment faced several operational and technical limitations:

Infrastructure Constraints

  • Fixed-capacity on-premises tower systems
  • Lengthy procurement cycles for additional compute capacity
  • Limited ability to support peak simulation demand

Engineering Productivity Challenges

  • Long wait times for simulation execution
  • Resource contention among engineering teams
  • Manual provisioning of compute resources

Application Requirements

Support for resource-intensive engineering workloads including

  • Thermal analysis
  • Electromagnetic simulation (SIwave)
  • CFD simulations
  • Structural and mechanical analysis

Security & Compliance Needs

  • Government-regulated workloads
  • Secure access controls
  • Controlled engineering environments
  • Auditable user management processes

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:

Impact

  • Faster Onboarding: Reduced time to productivity for engineering and research teams.
  • Improved Productivity: Gave scientists and designers consistent, ready-to-use environments.
  • Stronger Compliance Posture: Aligned the environment with enterprise and regulatory requirements.
  • Eliminated Workstation Bottlenecks: Reduced dependence on physical infrastructure.
  • Scalable Foundation: Established a base to support future HPC and AI workloads.

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