Tesla
Product Info
Additional Info
  • Software Development Tools

    Programming CUDA-enabled GPUs

  • NVIDIA CUDA
  • Webinars

    Learn more about GPU computing and CUDA-enabled applications through these webinars

  • Request Resource CD

    If you are new to GPU computing or would like to add to your knowledge of NVIDIA CUDA programming and Tesla hardware then this resource CD is for you.

ANSYS Acceleration with Tesla Graphics Cards

 
 
Leading engineering organizations understand the importance of adopting simulation to decrease the number of physical prototypes they build in their product development process. Companies realize that time is money in making design decisions and the more design iterations you can simulate the better optimized your final product. As a result ANSYS has recently added support for GPU computing to accelerate simulation times by as much as 2x.

And now, by combining the latest versions of ANSYS Mechanical with the new NVIDIA Maximus technology, you can run simulations locally at your desk without impacting productivity.

Learn more on our Maximus workstation page.

Innovate Faster with GPU-Accelerated ANSYS Products:

> ANSYS Mechanical for structural response simulations > ANSYS Nexxim for electronics signal integrity analysis

Recent performance studies conducted by Hewlett-Packard engineers working together with ANSYS demonstrated that the Tesla M2050 GPU acceleration of an Intel Xeon 5650 (Westmere) CPU with 2 cores was greater than 3x and for 4 cores greater than 2x, and for ANSYS models of relevance to industry practice.


ISV/Application Supported Features Expected Speed up* Release Status
ANSYS Mechanical Direct & iterative solver 2x Released
Abaqus Direct solver 2x Released
Impetus SPH, blast simulations 2x Released

* Expected Speed Up vs a quad-core x64 CPU based system. Speed-ups as per NVIDIA in house testing or application provider   documentation.


Recommended Professional Products
The powerful GPU computing capabilities in ANSYS were developed on NVIDIA Tesla GPUs and require the use of recent CUDA-capable NVIDIA GPUs, such as the Tesla 20-series products, and supporting CUDA v3.1 or above (learn more).

Tesla GPU computing products are designed to deliver the highest computational performance with the most reliable numerical accuracy, and are available and supported by the world's leading professional system manufacturers.

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
Workstations
> Existing System
  • Tesla C2050 (3GB) for < 3M DOF
  • Tesla C2070 (6GB) for > 3M DOF
> New System Purchase
  • Total 6-8 CPU cores
  • Total 32-48 GBs of CPU memory
  • Disk with minimum 500 GB
> GPU OPTIONS
  • Tesla C2050 or Tesla C2070
  • Quadro FX380 for pre/post
OR a single GPU
  • Quadro 6000 for compute and pre/post
Servers
> New System Purchase
  • 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 M2050 or Tesla M2070/M2075

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.