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A Reliable, Cost-Effective Approach to CFD and Engineering Simulation Workloads

HPC workloads like computational fluid dynamics (CFD) are proving unsuitable for public cloud computing. They pay-per-usage model used in the cloud leads to high operational costs that only get worse the more dedicated to the cloud you become. For CFD and similar workloads, it can be far more effective to build a balanced, efficient on-premises cluster to run your jobs.

That is why Thinkmate has created the CFD Cluster. The CFD Cluster is a balanced, purpose-designed for cost-effective simulations and engineering workloads. It leverages open-source software and commodity components to ensure cost-effectiveness and avoid vendor lock-in. The CFD cluster is designed to scale up and down as needed, starting with as little as one head node paired with one compute node, all the way to 80-plus node clusters.

CFD Cluster

Ideal Use Cases

  • CFD Workloads (i.e. STAR-CCM+, Ansys Fluent)
  • Proof of Concepts

Relevant Industries

Aerospace & Defense
Oil & Gas
Automotive
Engineering & Manufacturing
Education & Research

Simplified Cluster Design for CFD

  • Cost-effective, open-source software
  • Commodity Components
  • Highly Scalable (As few as 1 head and 1 compute node, up to 80+ nodes)
  • Eliminates the high operational costs of cloud-based CFD.