Amazon Web Services (AWS) and Microsoft retracts from the AI data center, indicating problems in the central model. Analysts take this last development to repeat the reason that the infrastructure based on the non -central Blockchain is the solution.
Kai wawrzinek, co -founder of the Cloud Network, discussed these questions on the horizon in an exclusive interview with Beincrypto.
Artificial Intelligence Data Centers hit the wall
A few months ago, artificial intelligence looked one of the most promising sectors in the technology industry. However, with companies like AWS and Microsoft Announcing a temporary stop in building the artificial intelligence data center, the image looks completely different. What happened? How does the future of artificial intelligence look like? Kai wawrzinek description as the case today:
“The news that AWS joins Microsoft in withdrawing from new data centers when the demand for artificial intelligence grows greatly is a testimony of the tremendous inefficiency that this model offers to expand the global internet.
AWS and Microsoft are not the only companies facing these problems. Although Meta publicly Claim Hundreds of billions will spend on infrastructure and data centers of artificial intelligence, to request Competitors for financing less than three months.
Openai, too, was Shook At the tremendous cost of running ChatGPT; Sam Al -Taman is an implicit I confess Her research may never be profitable.
Wawrzinek sees a clear solution – abandoning the central model and focuses on Defai. Although industrial leaders accumulate billions of dollars in Capex and the development of the leading LLM, the entire strategy can be a self -defeat.
For example, building the AI US data center is sinking Electric engineers with an unprecedented work. Focusing on many professionals on the centers themselves, it creates the bottleneck of a skilled work.
This harms renewable energy projects and the electrical network, which harms database functions.
“The era of artificial intelligence needs the infrastructure that can match its speed and size, and decentralized systems are the only models that have been created for this future. In contrast to that, the decentralized approach by the market solves this problem: the capacity can be spread more efficiently in the place of need without waiting for central central years of central vehicles.”
Can Defai deal with challenges?
Compared to the central data center model, Defai increased the ability to access the artificial intelligence account. The economic incentives that support Blockchain can accelerate the speed of publication, enhance expansion, and improve resource customization without large capital.
These decentralized systems, in short, have light lightness of their competitors.
Blockchain -based artificial intelligence companies have been able to benefit from a large account capacity without central databases. For example, DePin Atehir took great steps with the GPU-AS-ARVICE model.
Other companies such as 0g Labs have proven that the decentralization of the decentralized AI is not only possible in theory; It is profitable and necessary for the ecological system.
If all of this looks out of reach or utopia, it is important to remember the “black swan” event of Deepseek.
The Genai model that moves on the market in China to the entire world has proven that artificial intelligence companies can be made on the latest LLMS at the cost of devices. Therefore, artificial intelligence industry may need to rethink the data center model completely if this developer proves great success.
Although skeptics wondered whether the decentralized artificial intelligence can compete with databases, the reality is that centralization can have its own shortcomings.
“The future of Amnesty International’s infrastructure lies in open networks without permission, as the offer meets the demand dynamically and globally, and not through excessive performance models that are struggling to keep pace with it,” Wawrzinek has ended.
To date, the central intelligence companies have raised billions of dollars in investing investment capital, but their ability to innovate reach a brick wall. We may need a better model to create the best possible results.
Disintegration
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