The rise of artificial intelligence and artificial intelligence techniques have been a meteorite in the past two years. For some people who enjoy cunning in technology, each morning starts with the help of Amnesty International, from the smart alarm that follows their sleep cycle to the application of news that organizes articles based on their interests.
But behind this unsalted comfort, a hidden fact is – these techniques are part of the increasing energy crisis. Like artificial intelligence techniques such as AI’s Truntic progress, they only turn our lives; They are calling for a huge share of electricity in the world.
The effect of artificial intelligence on energy infrastructure
The challenge is blatant. As one of the most intensity of modern information technology, it requires artificial intelligence systems Carbon emissions And electricity. In fact, the world may not be ready for their demands.
In 2023, the world became familiar with antiquities AI TolideBy 2024, it was used in various sectors. Consequently, the data centers that operate these artificial intelligence models have become huge consumers of electricity.
In fact, Forbes male GPT-4 requires more than 50 GB training for training-reward to 0.02 % of annual electricity production in California. Moreover, it requires energy more than 50 times from its predecessor, GPT-3.
Amazing statistics. Globally, data centers and transmission networks now Contribute To 3 % of global energy consumption, it emanates from carbon dioxide like Brazil.
Moreover, the escalating energy requirements do not appear any signs of decline. According to the omission of the International Energy Agency (IEA), global The demand for electricity It will rise from 460 TERAWATT Watch in 2022 to 1000 TwH by 2026.
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In the United States alone, energy demand is expected to increase from the 200 TwH databases in 2022 to 260 TwH by 2026, which represents a 6 % stake in the country’s total energy use. The projections indicate that this request will double By 2030.
Amid this background, Ayush Ranjan, CEO of Hudde01 was highlighted DePin (decentralized physical infrastructure network).
“Artificial intelligence data centers require a large amount of electricity for calculation and cooling. If artificial intelligence applications continue to grow at the current rate, we will see great pressure on local and global energy networks that will prove that is not sustainable. This burden will continue to increase with the increasing artificial intelligence systems over time. This will again lead to higher emissions and a caustic property.”
The geographical assembly of data centers focuses on challenges. For example, Northern Virginia hosts the largest database center in the world, and consumes electricity equivalent to that of 800,000 homes. This concentration creates serious energy fluctuations, which is the severe risk of energy infrastructure.
How to solve the challenges
In response, DePin provides a promising solution by taking advantage of the unified devices resources Distribution of the account Tasks more efficiently. By consuming decentralized energy and stimulating the use of edge computing, DePin networks can significantly reduce the energy burden imposed by artificial intelligence, providing a way to reach the most sustainable and democratic democratic intelligence resources.
Ranjan also explained that DePins distribute energy consumption and work burden, which reduces the burden on any one point. Instead of relying on huge central databases, DePin publishes a multiple contract-often using the infrastructure that is not used to empty accounts closer to the final users.
“This reduces the burden of working on servers and spreads energy consumption evenly across the regions, which reduces the burden on energy networks,” said BEINCRYPTO.
Currently, 84 % of data centers are concentrated throughout the United States, Europe and China, making data transfer less energy efficient. However, the edge, integrated, integrated computing of the DePin, reduces long -distance and intensive data transfers for the model energy centers.
“The division of energy consumption through multiple devices and regions, which reduces the load on data centers and power networks by taking advantage of the current devices or resources to build the network will prove decisive in solving this problem,” Ranjan stressed.
Read more: What is DePin (decentralized physical infrastructure networks)?
DePin projects deal with the demands of artificial intelligence
According to Ranjan, many DePin projects, such as Filecoin Green, Akash networkAnd collection, and herbFocus on treating artificial intelligence energy requirements.
It is worth noting that Daylight Energy Project, Andressen Horowitz (A16Z), backed by a prominent investment capitalism company, aims to convert the energy network operations through distributed energy resources (DERS). This initiative enhances the network’s response and facilitates sustainable energy practices by taking advantage of the DE’s actual data such as solar panels and smart batteries.
Moreover, on September 10, daylight Declare Partnership with the DIMO network to empower electric cars (EVS) to support power networks. This cooperation uses DIMO (APIS) applications to integrate EVS into the ecosystem of energy management, thus facilitating clean energy use and actual time management of all EV owners.
DePin networks also solve other central infrastructure challenges, such as frequent power outages. For example, a conversation The interruption that involves Microsoft and Crowdstrike The main services are disrupted all over the world. However, DePin networks are less likely to have such interruptions because they do not have a single failure point.
currently , Total market value for DePin projects It exceeds 20.5 billion dollars. In addition, the total number of DePin devices exceeded 18 million. However, DePin still faces the challenges of expansion because the adoption of these networks requires high mathematical energy.
Ranjan pointed out that “many parties depend on a mixture of devices, from low -energy edge devices to small databases. The expansion of the network and the coordination of resources published to match the calculations of the central data center is still a tremendous challenge in the industry.”
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However, while the idea of saving the world from the global energy crisis is still emerging, additional innovation and dependence are necessary. Ranjan believes that symbolic incentives can help achieve more adoption.
“Due to the restrictions of the edge devices to deal with the burden of artificial intelligence, the adoption is very important for any Depin to tackle and see the prevailing state of use. Symbolic incentives help to push the intention of use and participation.”
In fact, with the high capacity of artificial intelligence, DePin provides a vital solution by canceling the central load. It can significantly reduce pressure on global energy infrastructure.
Networks DePin is a more sustainable approach to managing the increasing energy requirements of advanced artificial intelligence systems by harnessing unarpsed devices and edge computing. This strategy can avoid the energy crisis and enhance the most fair access to technology.
Disintegration
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