Challenges and Opportunities in Cloud-Based Simulation – An Engineer’s Perspective
John William – Senior Customer Success Engineer / Senior Technical Account Manager
Moving complex CAE workloads from fixed on‑premise clusters to cloud HPC introduces new variables in hardware architecture, data locality, workflows, and license utilization. In this technical session, a simulation engineer with 25+ years of experience walks through concrete patterns for running production‑grade CFD/FEA and multiphysics workloads in the cloud — what works, what breaks, and how to design for performance, reliability, and cost control from day one.
You’ll get practical guidance on:
- Choosing and tuning cloud architectures for different solvers and workloads (CPU vs GPU, interconnect, storage tiers)
- Structuring data management and data movement to avoid bottlenecks and bill shock
- Orchestrating end‑to‑end simulation workflows (pre/solve/post) across hybrid environments
- Aligning license allocation and autoscaling so engineers are never blocked while keeping utilization high
- Designing cost policies, guardrails, and monitoring to keep large-scale runs predictable and auditable
- Enabling secure collaboration and data sharing between engineering, IT, and external partners
Watch this session to see real‑world reference architectures, configuration examples, and migration lessons learned that you can apply directly to your own cloud-based simulation strategy.