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Human-level hardware timeline

We estimate that ‘human-level hardware’— hardware able to perform as many computations per second as a human brain, at a similar cost to a human brain—has a 30% chance of having already occurred, a 45%

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Global computing capacity

[This page is out of date and its contents may have been inaccurate in 2015, in light of new information that we are yet to integrate. See Computing capacity of all GPUs and TPUs for a related

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Costs of human-level hardware

Computing hardware which is equivalent to the brain – in terms of FLOPS probably costs between $1 x 105 and $3 x 1016, or $2/hour-$700bn/hour. in terms of TEPS probably costs $200M – $7B, or or $4,700 – $170,000/hour

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Brain performance in FLOPS

The computing power needed to replicate the human brain’s relevant activities has been estimated by various authors, with answers ranging from 1012 to 1028 FLOPS. Details Notes We have not investigated the brain’s performance in FLOPS in

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Index of articles about hardware

Hardware in terms of computing capacity (FLOPS and MIPS) Brain performance in FLOPS 2019 recent trends in GPU price per FLOPS Electrical efficiency of computing 2018 price of performance by Tensor Processing Units 2017 trend in

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Cost of human-level information storage

It costs roughly $300-$3000 to buy enough storage space to store all information contained by a human brain. Support The human brain probably stores around 10-100TB of data. Data storage costs around $30/TB. Thus it costs roughly $300-$3000 to buy

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Brain performance in TEPS

Traversed Edges Per Second (TEPS) is a benchmark for measuring a computer’s ability to communicate information internally. Given several assumptions, we can also estimate the human brain’s communication performance in terms of TEPS, and use this

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Glial Signaling

The presence of glial cells may increase the capacity for signaling in the brain by a small factor, but is unlikely to qualitatively change the nature or extent of signaling in the brain. Support Number