Editing Graphics processing unit (section)

=== 2020s ===
{{See also| AI accelerator}}

In the 2020s, GPUs have been increasingly used for calculations involving [[embarrassingly parallel]] problems, such as training of [[Artificial neural network#Training|neural networks]] on enormous datasets that are needed for [[large language model]]s. Specialized processing cores on some modern workstation's GPUs are dedicated for [[deep learning]] since they have significant FLOPS performance increases, using 4×4 matrix multiplication and division, resulting in hardware performance up to 128 TFLOPS in some applications.<ref>{{cite web |last1=Smith |first1=Ryan |title=NVIDIA Volta Unveiled: GV100 GPU and Tesla V100 Accelerator Announced |url=https://www.anandtech.com/show/11367/nvidia-volta-unveiled-gv100-gpu-and-tesla-v100-accelerator-announced |website=AnandTech |access-date=16 August 2018}}</ref> These tensor cores are expected to appear in consumer cards, as well.{{Update inline|date=April 2023}}<ref>{{cite web |last1=Hill |first1=Brandon |title=AMD's Navi 7nm GPU Architecture to Reportedly Feature Dedicated AI Circuitry |url=https://hothardware.com/news/amd-7nm-navi-gpu-ai-deep-learning |website=HotHardware |date=11 August 2017 |access-date=16 August 2018 |archive-url=https://web.archive.org/web/20180817023122/https://hothardware.com/news/amd-7nm-navi-gpu-ai-deep-learning |archive-date=17 August 2018 |url-status=dead }}</ref>