Editing GeForce (section)

{{short description|Brand of GPUs by Nvidia}}
{{About|the line of GPUs by Nvidia|the original GeForce GPU|GeForce 256}}
{{other uses|G force (disambiguation)}}
{{Use mdy dates|date=June 2013}}
{{Infobox graphics processing unit
| name = GeForce
| image = [[File:GeForce (2022).svg|250px]][[File:RTX 5090 - duża wydajność dużym kosztem (2160p 30fps VP9 LQ-96kbit AAC)-00.00.04.100.png|250px]]
| img_w = 
| caption = '''Top''': Logo since 2022{{br}}'''Bottom''': A [[GeForce RTX 5090]], the most recent [[flagship model]]; this one being the Founders Edition
| date = 
| discontinued = 
| manufacturer = {{plainlist|
* [[Nvidia]]
* [[Samsung Electronics]]
* [[TSMC]]
}}
| designfirm = Nvidia
| marketed_by = Nvidia
| created = {{Start date and age|1999|08|31}}
| codename = 
| architecture = 
| model1 = {{ubl|[[GeForce 256]]|[[GeForce 2 series]]|[[GeForce 3 series]]|[[GeForce 4 series]]|[[GeForce FX series]]|[[GeForce 6 series]]|[[GeForce 7 series]]|[[GeForce 8 series]]|[[GeForce 9 series]]|}}
| model2 = {{ubl|[[GeForce 100 series]]||[[GeForce 200 series]]|[[GeForce 300 series]]|[[GeForce 400 series]]|[[GeForce 500 series]]|[[GeForce 600 series]]|[[GeForce 700 series]]|[[GeForce 800 series]]|[[GeForce 900 series]]|[[GeForce 10 series]]|[[GeForce 16 series]]|}}
| model3 = {{ubl|[[GeForce 20 series]]|[[GeForce 30 series]]|[[GeForce 40 series]]|[[GeForce 50 series]]|}}
| cores-nothread = 
| numcores = Up to 21,760 [[CUDA]] cores
| process = 220 nm to 3 nm
| fab = 
| transistors = 
| entry = 
| midrange = 
| highend = 
| enthusiast = 
| dxversion = 
| openclversion = 
| openglversion = 
| mantleapi = 
| vulkanapi = 
| predecessor = [[RIVA TNT2]]
| variant = [[Nvidia Quadro]], [[Nvidia Tesla]]
| successor = 
}}

'''GeForce''' is a [[brand]] of [[List of Nvidia graphics processing units|graphics processing units]] (GPUs) designed by [[Nvidia]] and marketed for the performance market. As of the [[GeForce 50 series]], there have been nineteen iterations of the design.{{Clarification needed|reason=What does "design" mean in this context? Can't mean generation since there have been more.|date=January 2025}} In August 2017, Nvidia stated that "there are over 200 million GeForce gamers".<ref name=":3">{{Cite web |last=Palumbo |first=Alessio |date=2017-08-21 |title=NVIDIA Boasts 200M GeForce Gamers, Announces HDR Support for Destiny 2 Coming To PC First |url=https://wccftech.com/nvidia-hdr-support-destiny2-pc-first/ |access-date=2025-01-31 |website=Wccftech |language=en-US}}</ref>

The first GeForce products were discrete GPUs designed for add-on graphics boards, intended for the high-margin [[Gaming computer|PC gaming]] market, and later diversification of the product line covered all tiers of the PC graphics market, ranging from cost-sensitive<ref name="Nvdia Geforce" /> GPUs integrated on motherboards to mainstream add-in retail boards. Most recently,{{When|date=February 2024}} GeForce technology{{Vague|reason=What does "GeForce technology" mean here?|date=September 2024}} has been introduced into Nvidia's line of embedded application processors, designed for electronic handhelds and mobile handsets.{{Citation needed|date=January 2025}}

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 computing on graphics processing units|general-purpose graphics processor unit]] (GPGPU) market thanks to their proprietary [[CUDA|Compute Unified Device Architecture]] (CUDA).<ref>{{Cite conference |last=Otterness |first=Nathan |last2=Anderson |first2=James H. |author-link2=James H. Anderson (computer scientist) |date=2020 |title=AMD GPUs as an Alternative to NVIDIA for Supporting Real-Time Workloads |url=https://drops.dagstuhl.de/storage/00lipics/lipics-vol165-ecrts2020/LIPIcs.ECRTS.2020.10/LIPIcs.ECRTS.2020.10.pdf |conference=32nd [[EUROMICRO|Euromicro]] Conference on Real-Time Systems (ECRTS 2020) <!-- https://www.ecrts.org/about-ecrts/ --> |series=Leibniz International Proceedings in Informatics (LIPIcs) |publisher=Schloss [[Dagstuhl]] – Leibniz-Zentrum für Informatik |volume=165 |pages=10:1–10:23 <!-- Article No. 10 --> |doi=10.4230/LIPIcs.ECRTS.2020.10 |doi-access=free}}</ref> 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 [[Branch (computer science)|branching]] code).