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Computer scientist, Internet entrepreneur and co-founder of Google, Sergey Brin, recently confessed that the high demand for computing power generated by cryptocurrency mining devices has prompted search giant Google to build much more processors. powerful.

The paper published by Sergey Brin on the Alphabet network highlights the various factors that have caused in recent years an increase in computing power in the computers that support Google's platforms, causing what he calls "a computer boom" that has forced to make modifications in the levels of processing and data storage of the search engine.

For example, in the first year of Google 100 million operations were performed per second in a Pentium III; in the past 2017 there were 20 trillion operations per second. These statistics show how the processing power of the platform has changed over the past 20 years.

Among the factors explained by Brin highlights the cryptocurrency mining, this is due to the high demand for processing generated by the platforms and GPU dedicated to perform work tests to confirm transactions in different blockchains.

The second factor is a higher demand, derived from the advanced graphics in the games and, surprisingly, from the work-proof algorithms compatible with GPU that are found in some of the leading cryptocurrencies currently, such as Ethereum.

In addition to the mining industry, Sergey Brin pointed out that the first factor of increase in computing in the processors is due to the "constant hum of Moore's Law", a constant that certifies that the calculation power per square inch of a chip tends to duplicate every two years.

However, the factor that has generated the greatest changes in the increase in computing has been machine learning. Artificial intelligence systems make intensive use of data to recognize faces, translate texts or drive cars without human help, activity that requires a powerful storage capacity and operation in computers.

However, the third and most important factor is the substantial revolution in machine learning that has been built over the last decade (automatic learning) is possible thanks to these increasingly powerful processors and is also the main impulse to develop them. even more.

Previously, Google has conducted several investigations on distributed accounting technology and cryptocurrencies applied to its platforms, explorations that are still in the experimental phase. Beyond these approaches, the most notorious scandal of the cryptographic currencies in relation to Google has been the vane and prohibition of ads related to the crypto in these networks, a situation that has raised a huge controversy.