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Global computing capacity

Computing capacity worldwide was probably around 2 x 1020 – 1.5 x 1021 FLOPS, at around the end of 2015. Support We are not aware of recent, plausible estimates for hardware capacity. Vipul Naik estimated global hardware capacity in February

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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

Five credible estimates of brain computing capacity in terms of FLOPS by others that we are aware of are spread across the range from 3 x 1013 to 1025 FLOPS. The median estimate is 1018 FLOPS. Our own estimate of

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Index of articles about hardware

Hardware in terms of computing capacity (FLOPS and MIPS) Brain performance in FLOPS Current FLOPS prices Trends in the cost of computing Wikipedia history of GFLOPS costs Hardware in terms of communication capacity (TEPS) Brain performance in TEPS (includes the

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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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Information storage in the brain

The brain probably stores around 10-100TB of data. Support According to Forrest Wickman, computational neuroscientists generally believe the brain stores 10-100 terabytes of data. He suggests that these estimates are produced by assuming that information is largely stored in synapses, and

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Brain performance in TEPS

We can use Traversed Edges Per Second (TEPS) to measure a computer’s ability to communicate information internally. We can also estimate the human brain’s communication performance in terms of TEPS, and use this to meaningfully compare brains to

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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

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Scale of the Human Brain

The brain has about 10¹¹ neurons and 1.8-3.2 x 10¹⁴ synapses. These probably account for the majority of computationally interesting behavior. Support Number of neurons in the brain The number of neurons in the brain is about 10¹¹. For

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Neuron firing rates in humans

Our best guess is that an average neuron in the human brain transmits a spike about 0.1-2 times per second. Support Bias from neurons with sparse activity When researchers measure neural activity, they can fail to see neurons which rarely fire