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  2. GeForce 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_30_series

    According to The Verge, "4K gaming arrived with the RTX 2080 Ti", but "the RTX 3080 does the same and more at a much more affordable price point." [87] Overall, the RTX 3080 would be "great for 1440p or 4K gaming"; however, they criticized the requirement of a 750W power supply as well as the 10GB of VRAM regarding future games. [87]

  3. Nvidia RTX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_RTX

    Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.

  4. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    This list contains general information about graphics processing units (GPUs) and video cards from Nvidia, based on official specifications.In addition some Nvidia motherboards come with integrated onboard GPUs.

  5. GeForce 20 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_20_series

    In November 2019, PC Gamer wrote "even without an overclock, the 2080 Ti is the best graphics card for gaming." [35] In June 2020, PC Mag listed the Nvidia GeForce RTX 2070 Super as one of the "best [8] graphics cards for 4k gaming in 2020." The GeForce RTX 2080 Founders Edition, Super, and Ti were also listed. [36]

  6. Floating point operations per second - Wikipedia

    en.wikipedia.org/wiki/Floating_point_operations...

    AMD Ryzen 3600 & 3× NVIDIA RTX 3080 system AMD Ryzen 3600 @ 484 GFLOPS & $199.99 3× NVIDIA RTX 3080 @ 29,770 GFLOPS each & $699.99 Total system GFLOPS = 89,794 / TFLOPS = 89.794 Total system cost incl. realistic but low cost parts; matched with other example = $2839 [92] US$ /GFLOP = $0.0314 November 2020 3.88¢ 4.57¢ PlayStation 5

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.