This article is about GPGPU cards. For the GPU microarchitecture, see Tesla (microarchitecture).
"Tesla P100" redirects here. For the line of performance cars by Tesla Motors (P100D), see Tesla Model S. For and, see Tesla Model X.
Nvidia Tesla
General purpose graphics cards
ManufacturerNvidia
IntroducedMay 2, 2007 (age 19)
DiscontinuedThe Tesla branding was discontinued in May 2020 (age 6)—now branded as Nvidia Data Center GPUs

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.

The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards.

Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars.[1] Its new GPUs are branded Nvidia Data Center GPUs[2] as in the Ampere-based A100 GPU.[3]

Nvidia DGX servers feature Nvidia GPGPUs.

Overview

Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market.[4] As of 2012 , 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.[5]

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.[6]

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.[7]

See also

References

  1. ^ Casas, Alex (19 May 2020). "NVidia Drops Tesla Brand to Avoid Confusion with Tesla". Wccftech. Retrieved 8 July 2020.
  2. ^ "NVIDIA Supercomputing Solutions"
  3. ^ "NVIDIA A100 GPUs Power the Modern Data Center". NVidia. Retrieved 8 July 2020.
  4. ^ "High Performance Computing - Supercomputing with Tesla GPUs"
  5. ^ "Professional Workstation Solutions"
  6. ^ Tesla Technical Brief (PDF)
  7. ^ "Nvidia chases defense, intelligence ISVs with GPUs". TheRegister.com. Retrieved 8 July 2020.