Nvidia List Of Cuda Enabled Products

Nvidia introduced a terminology called cuda compute capability that refers to the general specifications and available features of a cuda enabled gpu.

Nvidia list of cuda enabled products. Notes for the cuda toolkit also contain a list of supported products. Built on the turing architecture it features 4608 576 full speed mixed precision tensor cores for accelerating ai and 72 rt cores for accelerating ray tracing. Cuda is a parallel computing platform and programming model developed by nvidia for general computing on graphical processing units gpus. Model the marketing name for the processor assigned by nvidia.

Nvidia websites use cookies to deliver and improve the website experience. Notes for the cuda toolkit also contain a list of supported products. Here s the guide for users who want to know nvidia hardware acceleration basics and get started with nvidia gpu acceleration. Geforce now cloud gaming.

Launch date of release for the processor. Nvidia cuda or nvenc based acceleration is widely used for 4k video transcoding playback programs or tools like ffmpeg final cut pro macx video converter pro and other multimedia software to speed up performance. Code name the internal engineering codename for the processor typically designated by an nvxy name and later gxy where x is the series number and y is the schedule of the project for that. Recommended gpu for developers nvidia titan rtx nvidia titan rtx is built for data science ai research content creation and general gpu development.

Games tech rtx games. It also includes 24 gb of gpu memory for training neural networks. The fields in the table listed below describe the following. To verify which video adapter your windows system uses open the control panel start control panel and double click on system.

To verify which video adapter your system uses find the model number by going to your distribution s equivalent of system properties or from the command line. With cuda developers are able to dramatically speed up computing applications by harnessing the power of gpus.