GPU Applications


Computer-aided engineering (CAE) simulations enable engineers to design more virtual prototypes thereby spending less time building physical ones. More iterations leads to a higher quality finished product. GPUs further improve productivity by accelerating simulations, thus helping reduce the product development times resulting in a competitive advantage for businesses.


ANSYS® and NVIDIA® work collaboratively to ensure the fastest performance for simulations running on ANSYS parallel software. NVIDIA GPUs support the following products:

  • Mechanical: ANSYS® Mechanical® 15.0 supports a full feature set including use on multiple GPUs.
  • Fluids: ANSYS® Fluent® 15.0 offers GPU support for pressure-based coupled solver and for radiation heat transfer models.
  • ANSYS® Nexxim™ 15.0 supports a full feature set; ANSYS® HFSS™ supports transient solver in 15.0.

Accelerating ANSYS simulations with NVIDIA GPUs have never been easier. In version 15.0, all HPC license products (HPC, HPC packs, HPC workgroups, and HPC enterprise) enable GPUs. Specifically, each GPU socket is treated the same as a single CPU core with respect to license requirements. As a result, more simulations are possible with existing HPC licenses combined with NVIDIA GPUs for dramatically increasing simulation productivity.

ANSYS® Mechanical™ 15.0 provides significant performance speedups when using NVIDIA Tesla K20 or the latest Tesla K40 GPUs. See the performance results on a standard ANSYS Mechanical benchmark below. To learn more, please read the ANSYS Tech Tip article "Accelerating Mechanical Solutions with GPUs"

ANSYS Mechanical "ANSYS Mechanical users can get higher throughput on large models with an NVIDIA Tesla K40 in their workstations. Models as large as 12M degrees of freedom can be accelerated with a single K40 and provide 2X performance gains over just CPUs."

Ray Browell
Lead Product Manager

ANSYS® Fluent® 15.0 now features multi-GPU support to deliver higher productivity in CFD simulations. This performance enhancement is the result of innovative GPU-accelerated solvers developed by NVIDIA in collaboration with ANSYS (called AmgX) and the new license scheme in ANSYS 15.0. The current implementation in Fluent 15.0 accelerates pressure-based coupled flow solver, speeding up the flow portion of CFD simulations. This benefit can simply be unlocked by adding Tesla K20, Tesla K20X or Tesla K40 GPUs to any existing HPC infrastructure. It is designed to run across multiple nodes with multiple GPUs in a cluster configuration, just like CPU systems.

The chart below compares the performance of Tesla K40 GPUs versus CPUs in ANSYS Fluent 15.0 from a large aerodynamic case run on a cluster.

CFD simulation of a Foumula 1 racing car, visualizing flow streamlines
CFD simulation of a Foumula 1 racing car, visualizing flow streamlines
ANSYS Fluent

Recommended Professional Products


The powerful GPU computing capabilities in ANSYS was developed on NVIDIA Professional GPUs. A CUDA-capable NVIDIA GPU (CUDA v4.2 or above) should be used. Suggested GPUs from the NVIDIA® Tesla® Kepler™ product family or NVIDIA® Quadro® Kepler product family are recommended.

NVIDIA GPU computing products are designed to deliver the highest computational performance to accelerate computations in ANSYS software.

Tesla Benefits

Highest Computational Performance

  • High-speed double precision operations
  • Large dedicated memory
  • CUDA-Accelerated math libraries
  • High-speed bi-directional PCIe communication
  • NVIDIA GPUDirect™ with InfiniBand

Most Reliable

  • ECC memory
  • Rigorous stress testing
  • ANSYS QA testing

Best Supported

  • Professional support network
  • Large and growing developer community
  • OEM system integration
  • Long-term product lifecycle
  • 3 year warranty
  • Cluster & system management tools (server products)
  • Windows remote desktop support

Recommended Configurations


  • Total 4 CPUs with 6-8 CPU cores each
  • Total 4 x16 PCIe (one for each GPU)
  • Total 128 to 192 GBs of CPU memory
  • Disk with minimum 2000 GB (scratch)
  • 4 x Tesla K20 or Tesla K20X


  • Total 2 CPUs with 6-8 CPU cores each
  • Total 48 GBs of CPU memory
  • SSD with minimum 1000 GB
  • GPUs:
    • Tesla K20 (Compute)
    • Quadro K6000 (Pre/post analysis)

NVIDIA Tesla and Quadro products are available from all major professional workstation OEMs. Only Tesla GPU computing products are designed and qualified for compute cluster deployment.

For a complete list of Tesla Preferred Providers, go to the Tesla Where to Buy page.

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