Hardware Recommendations

How to Choose Hardware for your Simulation

  • The number of cores are generally decided based on the model size, model fidelity and expense.

    • Model size: Cells, grid points, nodes, elements, degrees of freedom
    • Model fidelity: Time accurate, Single vs Double precision and Solver
    • Cost focus: Minimize dollar cost per solution
    • Cost-performance focus: Good balance between time to solution and computing cost
  • For example, CFD generally start with 75K - 100K cells per core

  • A good rule of thumb is to initially utilize a smaller number of cores to test your model before running the full intended core count

Usage Core Types Memory/node Storage/node
Optimal cost vs performance Onyx
Emerald
Mercury
60 GB
144 GB
112 GB
648 GB
1.3 TB
2.0 TB
High Memory specialty Core types Zinc
Melanite
Mercury
Sunstone
Amber
488 GB
384 GB
112 GB
224 GB
240 GB
1.3 TB
3.8 TB
2.0 TB
2.0 TB
700 GB
Premium Specialty Core types Topaz
Graphite
Diamond
Ruby
2.0 TB
488 GB
384 GB
768 GB
3.6 TB
15.2 TB
1.8 TB
3.6 TB

More details on the number of cores per node, storage, memory and pricing can be found on Rescale platform's Hardware Summary page. For example, in the image below we can see that Onyx has 18 cores per node with 60.0 GB memory and 648 GB storage per node, while a specialized core type like Melanite has more memory, storage and cores per node. These details will help determine the best core type for your simulations.

Hardware Summary

For CFD/FEA based simulations

  • Onyx
  • Emerald
  • Amber

For FEA codes with higher memory requirements

  • Melanite
  • Zinc
  • Topaz (for higher memory requirements)

Other FAQs