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  2. GPU mining - Wikipedia

    en.wikipedia.org/wiki/GPU_mining

    GPU mining is the use of Graphics Processing Units (GPUs) to "mine" proof-of-work cryptocurrencies, such as Bitcoin. [1] Miners receive rewards for performing computationally intensive work, such as calculating hashes, that amend and verify transactions on an open and decentralized ledger. GPUs can be especially performant at calculating such ...

  3. GeForce 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_30_series

    The GeForce 30 series is a suite of graphics processing units (GPUs) designed and marketed 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. Graphics card prices are falling, but should you buy them now?

    www.aol.com/news/graphics-card-gpu-prices...

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  5. Graphics processing unit - Wikipedia

    en.wikipedia.org/wiki/Graphics_processing_unit

    A graphics processing unit (GPU) is a specialized electronic circuit initially designed for digital image processing and to accelerate computer graphics, being present either as a discrete video card or embedded on motherboards, mobile phones, personal computers, workstations, and game consoles.

  6. Graphics card - Wikipedia

    en.wikipedia.org/wiki/Graphics_card

    A modern consumer graphics card: A Radeon RX 6900 XT from AMD. A graphics card (also called a video card, display card, graphics accelerator, graphics adapter, VGA card/VGA, video adapter, display adapter, or colloquially GPU) is a computer expansion card that generates a feed of graphics output to a display device such as a monitor.

  7. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).

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