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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.

  3. AMD May Repurpose Its Apple-Exclusive GPUs For ... - AOL

    www.aol.com/news/amd-may-repurpose-apple...

    See also: Best Cryptocurrency Apps Why It Matters: Bitcoin and Ethereum mining is a massive industry, with miners on both the blockchains each recording daily revenues of over $50 million a day.

  4. 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).

  5. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) 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.

  6. AMD Instinct - Wikipedia

    en.wikipedia.org/wiki/AMD_Instinct

    AMD Instinct is AMD's brand of data center GPUs. [1] [2] It replaced AMD's FirePro S brand in 2016.Compared to the Radeon brand of mainstream consumer/gamer products, the Instinct product line is intended to accelerate deep learning, artificial neural network, and high-performance computing/GPGPU applications.

  7. Hopper (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Hopper_(microarchitecture)

    4 Nvidia H100 GPUs. Hopper is a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is designed for datacenters and is used alongside the Lovelace microarchitecture. It is the latest generation of the line of products formerly branded as Nvidia Tesla, now Nvidia Data Centre GPUs.

  8. GeForce RTX 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_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]

  9. Ada Lovelace (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Ada_Lovelace_(micro...

    The last enabled AD102 Lovelace die features 96 MB of L2 cache, a 16x increase from the 6 MB in the Ampere-based GA102 die. [15] The GPU having quick access to a high amount of L2 cache benefits complex operations like ray tracing compared to the GPU seeking data from the GDDR video memory which is slower.