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2. GeForce 30 series - Wikipedia

   en.wikipedia.org/wiki/GeForce_30_series

   The lineup, designed to compete with AMD's Radeon RX 6000 series of cards, consists of the entry-level and previously laptop-exclusive RTX 3050 and laptop-exclusive RTX 3050 Ti, mid-range RTX 3060, upper-midrange RTX 3060 Ti, high-end RTX 3070, RTX 3070 Ti, RTX 3080 10 GB, RTX 3080 12 GB and enthusiast RTX 3080 Ti, RTX 3090, and RTX 3090 Ti ...

3. 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.

4. GeForce 20 series - Wikipedia

   en.wikipedia.org/wiki/GeForce_20_series

   The GeForce 20 series is a family of graphics processing units developed by Nvidia. [8] Serving as the successor to the GeForce 10 series, [9] the line started shipping on September 20, 2018, [10] and after several editions, on July 2, 2019, the GeForce RTX Super line of cards was announced.

5. Quadro - Wikipedia

   en.wikipedia.org/wiki/Quadro

   The Quadro line of GPU cards emerged in an effort towards market segmentation by Nvidia. [citation needed] In introducing Quadro, Nvidia was able to charge a premium for essentially the same graphics hardware in professional markets, and direct resources to properly serve the needs of those markets.

6. GeForce 40 series - Wikipedia

   en.wikipedia.org/wiki/GeForce_40_series

   The RTX 4090 was released as the first model of the series on October 12, 2022, launched for $1,599 US, [1] and the 16GB RTX 4080 was released on November 16, 2022 for $1,199 US. An RTX 4080 12GB was announced in September 2022, originally to be priced at $899 US, however following some controversy in the media it was "unlaunched" by Nvidia.

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.