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Nvidia Tesla

Nvidia Tesla is the former name for a line of products developed by Nvidia targeted at stream processing or general-purpose graphics processing units (GPGPU), named after pioneering electrical engineer Nikola Tesla. Its products began using GPUs from the G80 series, and have continued to accompany the release of new chips. They are programmable using the CUDA or OpenCL APIs.

Overview
Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China. Unlike Nvidia's consumer GeForce cards and professional Nvidia Quadro cards, Tesla cards were originally unable to output images to a display. However, the last Tesla C-class products included one Dual-Link DVI port. ==Applications==
Applications
Tesla products are primarily used in simulations and in large-scale calculations (especially floating-point calculations), and for high-end image generation for professional and scientific fields. In 2013, the defense industry accounted for less than one-sixth of Tesla sales, but Sumit Gupta predicted increasing sales to the geospatial intelligence market. File:Nvidia@16nm@Pascal@GP100@Tesla P100@T Taiwan 1912A1 PN9G70.S6W GP100-897-A1 DSCx01@SWIR.jpg|Nvidia Tesla P100 die File:Tesla-NVIDIA GPU cluster (3706444821).jpg|Servers utilizing an Nvidia Tesla GPU cluster ==Specifications==
Source: Wikipedia ↗
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