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  2. GeForce 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_40_series

    Upon release, the RTX 4090's performance received praise from reviewers, with Tom's Hardware saying "it now ranks among the best graphics cards". [83] A review by PC Gamer gave it 83/100, calling it "a hell of an introduction to the sort of extreme performance Ada can deliver when given a long leash". [84]

  3. 16-pin 12VHPWR connector - Wikipedia

    en.wikipedia.org/wiki/16-Pin_12vHPWR_connector

    12VHPWR adapter (12VHPWR output on the left, four 8-pin inputs on the right) supplied with Nvidia RTX 4090 cards. The 16-pin 12VHPWR connector is a standard for connecting graphics processing units (GPUs) to computer power supplies for up to 600 W power delivery. It was introduced in 2022 to supersede the previous 6- and 8-pin power connectors ...

  4. 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.

  5. Nvidia's RTX 4090 GPU suddenly looks like an even ... - AOL

    www.aol.com/news/nvidias-rtx-4090-gpu-suddenly...

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  6. GeForce - Wikipedia

    en.wikipedia.org/wiki/GeForce

    On September 20, 2022, Nvidia announced its GeForce 40 Series graphics cards. [35] These came out as the RTX 4090, on October 12, 2022, the RTX 4080, on November 16, 2022, the RTX 4070 Ti, on January 3, 2023, with the RTX 4070, on April 13, 2023, and the RTX 4060 Ti on May 24, 2023, and the RTX 4060, following on June 29, 2023.

  7. Computer performance by orders of magnitude - Wikipedia

    en.wikipedia.org/wiki/Computer_performance_by...

    1.32×10 15: Nvidia GeForce 40 series' RTX 4090 consumer graphics card achieves 1.32 petaflops in AI applications, October 2022 [8] 2×10 15: Nvidia DGX-2 a 2 Petaflop Machine Learning system (the newer DGX A100 has 5 Petaflop performance) 11.5×10 15: Google TPU pod containing 64 second-generation TPUs, May 2017 [9]