CST Studio Suite & Opera Recommended Hardware

CST Studio Suite is a 3D EM analysis software package for designing, analyzing and optimizing electromagnetic components and systems.




High end server/ workstation

Notes for recommended



Intel or AMD

Dual 4th Generation Intel® Xeon® Scalable Processors
(also known as "Sapphire Rapids“)


Dual 4th Gen AMD EPYC™ Processors (also known as “Genoa“)

We recommend high processor base clock frequency (>3 GHz) and 16-24 cores per CPU
are recommended for general-purpose simulation workstation

Memory (RAM)


64-128 GB per CPU

We recommend fastest RAM memory modules available, currently DDR4 or DDR5 memory type.

Graphics card

100% OpenGL compatible graphics card

NVIDIA or AMD card dedicated
to CAD/CAE applications



50GB of free disk space

At least 500GB hard disk drive

We recommend SSDs for better performance.

GPU computing*
( optional )

Supported GPU card

High-end NVIDIA Quadro®, RTX™ or Tesla® card

Please refer to the
GPU computing guide

MPI computing*
( optional )

Dedicated compute cluster hardware


Fast network interconnects with low latency is strongly recommended.
e.g. InfiniBand  .

Please refer to the
MPI computing guide

Distributed computing*
( optional )

For optimal simulation performance, the solver servers should run on separate computers from the frontend and the main controller. A fast network connection
between the solvers servers, the main controller, and the frontend is recommended as simulations may generate a lot of data that needs to be transferred.

CST Recommended Hardware


Minimum requirement: x86-64 CPU from Intel or AMD

For Intel processors, we recommend the latest Intel® Xeon® processors in a dual socket configuration for a high-end workstation or server configuration; currently these are the 4th Generation Intel® Xeon® Scalable Processors, also known as “Sapphire Rapids“.

For AMD processors, we recommend AMD EPYC™ 7004 Series processors in a dual socket configuration for a high-end workstation or server configuration; currently these are the 4th Gen AMD EPYC™ Processors also known as “Genoa“.

Please note that the processor’s turbo frequency cannot usually be used for long periods due to electrical and thermal limits, so for general performance and for long simulation times the base frequency gives a more realistic performance expectation.

We also recommend 8-16 cores per CPU for a general-purpose simulation workstation. It is in general advisable to have a high processor base frequency rather than a large amount of cores. The performance scaling as a function of number of cores depends on the used solver technology, the simulation model, and other factors.

For some applications and solver technologies, a high amount of processor cores and more than two processors may be a good option to obtain better performance. If you are planning a large hardware investment in high-end HPC hardware like a cluster system or a system with more than two CPU sockets, we recommend that you contact our technical support team directly so that we can help you during the configuration process.

A single processor system with a high base clock frequency may also deliver sufficient simulation performance for many applications. For that purpose, we recommend the Intel® Xeon® or AMD Ryzen™ Threadripper™ processor. The above advice is also valid for such configurations.


GPU Computing

Minimum requirement: A supported GPU card. 

Please see the GPU Computing Guide.

The high memory bandwidth and parallel processing abilities of GPU cards provide a significant simulation speed-up compared to CPU computing alone. Options are available for server-class and workstation configurations. Please see the GPU Computing Guide for a list of supported GPU devices as well as information about the requirements that the host system must fulfill.

Example Configurations

The following system configurations provide examples of low-end and high-end workstations that are suited to EM simulations using CST Studio Suite and Opera.

Low-End Configuration (Laptop):

  • Windows 11
  • Intel® Core™ i7 processor 14700KF 14th Generation
  • 100% OpenGL compatible graphics hardware, e.g. NVIDIA® T600
  • 32 GB (2 x 16 GB DIMMs) DDR5 5600 MT/s RAM
  • 1TB SSD

Note that this configuration is not expected to deliver ideal performance for most practical use-cases. This configuration is appropriate for simple simulations, post-processing calculations and graphical rendering purposes.

High-End Configuration (Workstation):

  • Windows 11Pro
  • Dual Intel® Xeon® Gold 6426Y Processor, 16 cores per processor, 2.50 GHz base clock
  • (OR) Dual AMD EPYC™ 9124 Processor, 16 cores per processor, 3.0 GHz base clock
  • GPU acceleration/graphics: NVIDIA RTX™ 6000 Ada**
  • 256 GB (16 x 16 GB DIMMs) DDR5 4800 MT/s RAM in case of 4th Generation Intel® Xeon® Scalable Processor
  • (OR) 384 GB (24 x 16 GB DIMMs) DDR5 4800 MT/s RAM in case of 4th Generation AMD EPYC™ Processor
  • 4TB SSD

High-End Configuration (Server):

  • RHEL 9 (or) Windows Server 2022
  • Dual AMD EPYC™ 9274F Processor, 24 cores per processor, 4.05 GHz base clock
  • (OR) Dual Intel® Xeon® Gold 6444Y Processor, 16 cores per processor, 3.60 GHz base clock
  • GPU acceleration/graphics: NVIDIA L40 GPU**
  • 384 GB (24 x 16 GB DIMMs) DDR5-4800 MT/s RAM in case of 4th Generation AMD EPYC™ Processor
  • (OR) 256 GB (16 x 16 GB DIMMs) DDR5-4800 MT/s RAM in case of 4th Generation Intel® Xeon® Scalable Processor
  • 4TB SSD

If a system is used only for results post-processing and analysis, e.g. for distributed computing frontend, then it does not need powerful hardware. A powerful graphics card and enough disk space for storing the results are usually sufficient.

If you have further questions, our technical support engineers are available to review your desired hardware configuration and provide you with feedback and suggestions to improve it.

NOTE: SIMULIA assumes no liability for any problems caused by this hardware recommendations.

*This feature is available for selected solvers in CST Studio Suite only and not available in Opera. Please refer to the relevant guide or online help for more information.

** This GPU has poor double precision and so not recommended for all solvers. Please refer section 2.1 in the GPU computing Guide.


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