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- About NVIDIA
|Mathematica is a sophisticated development environment that combines a flexible programming language with a wide range of symbolic and numeric computational capabilities, production of high-quality visualizations, built-in application packages, and a range of immediate deployment options. With access to thousands of datasets and the ability to load external dynamic libraries and automatically generate C code, Mathematica is the most intuitive build-to-deploy environment in the market.
Learn more about GPU computing with Wolfram Mathematica [here].
Mathematica’s CUDALink: Integrated GPU ProgrammingMathematica provides GPU programming support via the built-in CUDALink package, which gives you GPU accelerated linear algebra, discrete Fourier transform, and image processing algorithms. You can also write your own CUDALink modules with minimal effort.
The CUDALink package included within Mathematica at no additional cost offers:
Recommended Professional Products
The powerful GPU computing capabilities in Mathematica were developed on Tesla and Quadro GPU computing products and require the use of recent CUDA-capable NVIDIA GPUs.|
Tesla and Quadro 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.
To utilize Mathematica's CUDALink, the following is required:
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.
Buy Optimized Tesla Systems
We partner with our system vendors to provide optimal solutions that accelerate your workload. Buy now and enjoy all the benefits of GPU-acceleration on Mathematica.
|Recommended Workstation Platforms|
For Mathematica customers seeking both maximum performance and sleek design, the HP Z800 supports two Tesla C2050 computing processors to bring supercomputing performance to their desk.
|Dell Precision T7500
Designed for system scalability and performance, the Dell Precision T7500 comes equipped with a single Tesla C2050 computing processor to meet your Mathematica computation needs.
|Recommended Cluster Platforms|
|Dell PowerEdge C410x PCIe Expansion Chassis
Packed with the most computational power in a 3U form factor with 16 Tesla M2050 computing processors, the Dell PowerEdge C410x is a perfect platform to expand existing clusters for Mathematica users.
|Other Featured Partners and Resellers|
|For a complete list of Tesla Preferred Providers, click here.|