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  2. List of Nvidia graphics processing units - Wikipedia

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

    Core config – The layout of the graphics pipeline, in terms of functional units. Over time the number, type, and variety of functional units in the GPU core has changed significantly; before each section in the list there is an explanation as to what functional units are present in each generation of processors.

  3. GeForce RTX 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_RTX_30_series

    The GeForce 30 series is a suite of graphics processing units (GPUs) developed by Nvidia, succeeding the GeForce 20 series.The GeForce 30 series is based on the Ampere architecture, which features Nvidia's second-generation ray tracing (RT) cores and third-generation Tensor Cores. [3]

  4. GeForce RTX 40 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_RTX_40_series

    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] Tom Warren in a review for The Verge said that the RTX 4090 is "a beast of a graphics card that marks a new era for PC gaming". [85]

  5. GeForce RTX 20 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_20_series

    PC World called the super editions a "modest" upgrade for the price, and the 2080 Super chip the "second most-powerful GPU ever released" in terms of speed. [34] In November 2019, PC Gamer wrote "even without an overclock, the 2080 Ti is the best graphics card for gaming."

  6. 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.

  7. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Tensor Core FP32 Accumulate Single precision (MAD or FMA) Double precision C870 GPU Computing Module [d] Tesla: May 2, 2007 1× G80 600 128 1350 — GDDR3 384 1.5 1600 76.8 No 0.3456 No 1.0 170.9 Internal PCIe GPU (full-height, dual-slot) D870 Deskside Computer [d] May 2, 2007 2× G80 600 256 1350 — GDDR3 2× 384 2× 1.5 1600 2× 76.8 No 0. ...

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