Maple supports Compute Unified Device Architecture ("CUDA") acceleration on the following operating systems:

Windows (64-bit)

Linux (64-bit)

You will need to have an NVIDIA(R) CUDA-enabled card and the most recent NVIDIA drivers installed on your computer.

NVIDIA provides a list of CUDA-enabled cards at http://www.nvidia.com/object/cuda_learn_products.html. Any of these cards may be used; however, your specific hardware may impose certain limitations.

On Windows, you can install the standard NVIDIA drivers.

On Linux, you must install NVIDIA closed-source drivers. Most Linux distributions do not install these drivers by default.

On Mac, note that macOS 10.14 and higher do not support CUDA.

NVIDIA provides a rating, called the compute capability, to describe the capabilities of their hardware devices.

Hardware with a compute capability of 1.2 or less does not support double precision (float[8] in Maple) computations. Hardware with a compute capability of 1.3 or higher supports double precision computations; however, in current hardware, double precision computations may be slower.

The amount of memory on the card may limit the size of the computation that can be accelerated.