Artificial intelligence companies, bitcoin mining axis with the energy center capacity star-news.press/wp
Feature writer
Jeffrey Jojo
Feature writer
Jeffrey Jojo
Involve
Reality examined by
Elena Bozkova
Lead features
Elena Bozkova
Main meals:
- Artificial intelligence companies are now using the excess data center strength to extract Bitcoin.
- This step can help install electricity networks and improve energy efficiency, according to analysts.
- Mara Holdings and RIOT platforms are among the first companies to fill Bitcoin using the AI Data Center.
Artificial intelligence companies now use the strength of the excess data center to extract Bitcoin – a step that can help in installing electricity networks, improving energy efficiency, and enhancing the economies of both sectors, according to industry analysts.
In June, bitcoin workers workers workers Firing The project that benefits from the inactive energy from the AI to Bitcoin (BTC).
Earlier, riot platforms announced that they spent one billion dollars on the energy infrastructure that will be used in both bitcoin mining and artificial intelligence operations.
Daniel Patten, a climate technology investor and a prominent analyst in the environmental imprint of Bitcoin, said about the Mara Initiative. And he told Cryptonews.
So far, Bitcoin mining companies have been diversified in artificial intelligence account services to take advantage of new revenue flows, Patten says. But the move to change things: AI companies are now bitcoin miners.
“The rapprochement occurs in both directions,” he said, noting that artificial intelligence companies are driven by the need to liquefy the unused energy and improve their energy purchase strategies.
“Artificial intelligence companies have beented a lot of lost energy because they have to redirect energy, and a lot is lost. It is not a material waste, but it is an economic waste because they bought more than they can benefit. Bitcoin mining is perfectly appropriate to absorb this surplus.”
LLMS such as Openai’s image recognition systems or Hyperscale training systems require huge amounts of computer energy – and extension.
For example, the GPT-3 model training was estimated To use a little less than 1300 MW (MWH) of electricity last year – equivalent to almost the annual electricity used by about 130 families in the United States
GPT-4 training is more advanced, and at the same time, it is estimated The researchers say that taking 50 times of energy. A large part of this energy is consumed by databases, which are used to train and operate artificial intelligence models.
Artificial intelligence companies often excessive ability to avoid expensive times and ensure smooth operation of energy -thirsty data centers. But not all of this energy is used all the time.
Solve the “Spike” demand dilemma
According to Batten, Nexus of artificial intelligence/Bitcoin treats long -term inefficiency in energy dynamics in the data center, transforming the extra energy into a new source of value.
For artificial intelligence companies spend millions per day at an account, the ability to extract bitcoin during peak hours may reduce operating costs.
Mara Holdings is an early driver in this regard. The use of the Florida -based company for its Bitcoin extraction company, but also brings new revenues with the construction of a responsive energy consumer for the network.
Farid Thil, CEO of Mara, said in a recent press statement.
He added: “In the flexible data centers in Mara, the unused, unused, or independent energy resources are exploited to secure the excellent professor’s book in the world, and convert clean energy that may be lost in the economic value.”
His comments were repeated by Brian Morganstaren, head of public policy at Riot, who He said Reuters Energy Conference in June that “Bitcoin mining can be the first engine in the appropriate sites for artificial intelligence data centers to build energy infrastructure and capacity investment.”
Morganson said the riots invested one billion dollars in energy infrastructure and stimulating the 400 -megawatts power plant in Corsican, Texas, which uses 40 % of its bitcoin mining.
He said: “We continue to this strength … We buy lands, (and) we bring experts to develop the artificial intelligence data center.”
Patten says the effects of models such as Mara or Riot exceed the profits of companies. This is the effect on the stability of the network. Artificial intelligence data centers tend to create irregular demand for power.
He said that the “jump” is a “nightmare” for network operators, especially since renewable energy is more like solar energy or wind, which is in nature intermittent, comes online. Patten explained in an audio message Cryptonews:
“The thorny demand for energy is really bad for the network, especially when network operators are already struggling with a variable renewable energy intermittent. If you have an intermittent energy user, this is an absolute nightmare.”
Bitcoin mining stabilizes energy networks
Batin said bitcoin can settle on unexpected mutations in the demand for artificial intelligence. This is because, unlike most industrial processes, mining in Bitcoin can be connected up or down in seconds, and in response to the network needs in the actual time.
When there is a lot of energy or low demand for artificial intelligence, mine owners can use this extra energy. Likewise, they can quickly close their devices when the demand rises – “make the network operator’s function to install the network easily.”
“This means that you can put a more variable renewable energy on the network (without risking the power or brownouts),” Patten says. “Otherwise, they (network operators) have to respond by just giving Basiloa energy.”
According to the environmental analyst, “there is no load -balancing technology, which can be developed, can be developed, present in the world today from bitcoin mining.”
In his presentation at the Reuters Energy Conference, Morganstiren, head of riots for public policy, said that decentralization in Bitcoin means that mining facilities can “reduce energy use when the network needs it.”
“It is 100 degrees in August, there is no problem. We are restricted when the strain of the network rises. In some locations, we can even sell the network stability services so that the network operator can use us like a thermal key to balance the supply and demand.”
The rapprochement of artificial intelligence and bitcoin, two thick energy sectors, is necessary to reduce carbon emissions. Experts say with better stability of the network and the lowest energy waste, renewed energy integration will be more feasible. Batten also notes:
“It will be good for network stability, and it will be good for artificial intelligence data centers as well as being useful for generating renewable energy.”
The big question, though, is whether it is a paradigm that can expand.
“Certainly,” Batten announced. “Any Amnesty International company operates large amounts of energy, therefore, it can benefit from this model of this model.
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2025-07-11 09:34:00
