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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.
The computing power of GPUs makes them well-suited to generating hashes. Popular favorites of cryptocurrency miners, such as Nvidia's GTX 1060 and GTX 1070 graphics cards, as well as AMD's RX 570 and RX 580 GPUs, doubled or tripled in price – or were out of stock. [79] A GTX 1070 Ti, which was released at a price of $450, sold for as much as ...
Starting in the late 2010s, the power of these GPU cards were being used by cryptocurrency "miners", as they were lower cost than other computing hardware for the same purposes, and created a run on GPU cards that inflated prices and card shortages over extended periods. [202]
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SXM boards are typically built with four or eight GPU slots, although some solutions such as the Nvidia DGX-2 connect multiple boards to deliver high performance. While third party solutions for SXM boards exist, most systems integrators such as Supermicro use prebuilt Nvidia HGX boards, which come in four or eight socket configurations. [ 5 ]
Cloud mining is the process of cryptocurrency mining utilizing a remote data center with shared processing power. [1] Cloud mining has been used by ransomware groups and scammers to launder cryptocurrency. [2] This type of cloud mining enables users to mine bitcoins or alternative cryptocurrencies without managing the hardware.
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.
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2]
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