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.svg) -00.00.05.900.png) Top: Logo since 2022 Bottom: A GeForce RTX 5090, the most recent flagship model; this one being the Founders Edition | |
| Release date | August 31, 1999 |
|---|---|
| Manufactured by | |
| Designed by | Nvidia |
| Marketed by | Nvidia |
| Models | |
| Cores | Up to 21,760 CUDA cores |
| Fabrication process | 220 nm to 3 nm |
| History | |
| Predecessor | RIVA TNT2 |
| Variant | Nvidia Quadro, Nvidia Tesla |
GeForce is a brand of graphics processing units (GPUs) designed by Nvidia and marketed for the performance market. As of the GeForce 40 series,[needs update] there have been eighteen iterations of the design.[clarification needed] In August 2017, Nvidia stated that "there are over 200 million GeForce gamers".[1]
The first GeForce products were discrete GPUs designed for add-on graphics boards, intended for the high-margin PC gaming market, and later diversification of the product line covered all tiers of the PC graphics market, ranging from cost-sensitive[2] GPUs integrated on motherboards to mainstream add-in retail boards. Most recently,[when?] GeForce technology[vague] has been introduced into Nvidia's line of embedded application processors, designed for electronic handhelds and mobile handsets.[citation needed]
With respect to discrete GPUs, found in add-in graphics-boards, Nvidia's GeForce and AMD's Radeon GPUs are the only remaining competitors in the high-end market. GeForce GPUs are very dominant in the general-purpose graphics processor unit (GPGPU) market thanks to their proprietary Compute Unified Device Architecture (CUDA).[3] GPGPU is expected to expand GPU functionality beyond the traditional rasterization of 3D graphics, to turn it into a high-performance computing device able to execute arbitrary programming code in the same way a CPU does, but with different strengths (highly parallel execution of straightforward calculations) and weaknesses (worse performance for complex branching code).
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Nvdia Geforcewas invoked but never defined (see the help page). - ^ Otterness, Nathan; Anderson, James H. (2020). AMD GPUs as an Alternative to NVIDIA for Supporting Real-Time Workloads (PDF). 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020). Leibniz International Proceedings in Informatics (LIPIcs). Vol. 165. Schloss Dagstuhl – Leibniz-Zentrum für Informatik. pp. 10:1–10:23. doi:10.4230/LIPIcs.ECRTS.2020.10.