Maybe the field of AI and DePIN will come back into trend in the near future.


IO is newly listed and has already surged.

ATH, Aethir was also just listed yesterday.

These two newly listed DePIN currencies, IO and ATH, have continued to rise

ATH and IO are close partners in the AI/DePIN field, and I believe ATH will also usher in a big surge in the future.


ATH made a lot of noise after two node sales.

ATH was listed on 16 exchanges at one time, and everyone knows how popular the project is.

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For newly issued currencies, one should look at its market capitalization to find an entry point.

ATH’s current market value is about 350M, which is equivalent to the market value of IO when it was first listed. However, the price of $ATH has increased 6 times, which is not good news for holders. It may be more appropriate to consider entering the market at 0.06.

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There are three ATH clustering areas where you can buy, trade and hold.

0.076x and 0.06x are two suitable buying prices, while 0.04 is the ideal price.

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There is a good chance that ATH will surge like IO.

It is very difficult to catch a good trend and find good projects during this period, so I will seize the opportunity and keep an eye on the ATH to purchase in the three areas mentioned above.


As AI models become more complex, the demand for computing power is expected to grow exponentially, with use cases including deep learning, AI agents, generative AI, autonomous driving, robotics, and more.

Computing power is the main bottleneck for AI development; the only way to become a pioneer in AI/machine learning is to invest more. Therefore, the demand for high-end GPUs remains strong and is expected to intensify as competition among large technology companies continues to intensify.

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As a result, the costs associated with these computing requirements are steadily increasing. For many “GPU-starved” AI/ML enterprises, this cost is a heavy burden – creating a lucrative opportunity to decentralize the computing industry.

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Decentralized computing provides access to distributed GPU clusters at a fraction of the cost of centralized services, making it a cost-effective alternative. Compared to major players such as Google Cloud, AWS, Azure, etc., decentralized infrastructure is more than 4 times cheaper.

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Focus on the key data of major decentralized GPU projects:

- Render $RNDR 

-Akash $AKT

- Girl $NOS 

- Aether $ATH 

- IOnet $IO 

- Netmind $NMT

Here’s how these decentralized GPU platforms work in the crypto space: - Data collection and processing - Model training - Fine-tuning - Model inference

Decentralized GPU solutions already demonstrate clear PMF, and with the AI ​​trend they will become even more important.