Recently, I have still been looking for opportunities and noticed that $COAI pumped quite a bit, so I took a few more looks.
Discover that $COAI is not just a simple pump, but the result of capital revaluation of "AI infrastructure".
ChainOpera is not just a single application, but a full-stack ecosystem that ranges from AI OS, GPU networks, Agent platforms to terminal Apps, achieving a complete architecture that simultaneously provides and consumes AI capabilities.
This makes it the only underlying system in the market that can simultaneously support the developer ecosystem and user needs.
More importantly, it has achieved the participation of data in training while in an encrypted state using fully homomorphic encryption (FHE) and federated learning technology, truly bringing "privacy AI" to fruition, with technical barriers far exceeding similar projects.
(Privacy is also one of the recent hot topics; I will share more later.)
Currently, the ChainOpera platform has over 3 million users and 100,000 developers, with a weekly model invocation volume reaching 3.5 billion times, making it a true combination of traffic and computational power, with notable performance.
Although the current FDV of $COAI has reached 17.5 billion USD, it seems expensive on the surface. However, compared to the valuations of projects like FET, TAO, and AGIX, which focus on a single track (7–12B), the pricing of ChainOpera as a full-stack AI infrastructure still makes sense.
Its value lies not in the current price, but in the dominance in the future AI economy.
It's worth paying more attention to in the future~
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Recently, I have still been looking for opportunities and noticed that $COAI pumped quite a bit, so I took a few more looks.
Discover that $COAI is not just a simple pump, but the result of capital revaluation of "AI infrastructure".
ChainOpera is not just a single application, but a full-stack ecosystem that ranges from AI OS, GPU networks, Agent platforms to terminal Apps, achieving a complete architecture that simultaneously provides and consumes AI capabilities.
This makes it the only underlying system in the market that can simultaneously support the developer ecosystem and user needs.
More importantly, it has achieved the participation of data in training while in an encrypted state using fully homomorphic encryption (FHE) and federated learning technology, truly bringing "privacy AI" to fruition, with technical barriers far exceeding similar projects.
(Privacy is also one of the recent hot topics; I will share more later.)
Currently, the ChainOpera platform has over 3 million users and 100,000 developers, with a weekly model invocation volume reaching 3.5 billion times, making it a true combination of traffic and computational power, with notable performance.
Although the current FDV of $COAI has reached 17.5 billion USD, it seems expensive on the surface. However, compared to the valuations of projects like FET, TAO, and AGIX, which focus on a single track (7–12B), the pricing of ChainOpera as a full-stack AI infrastructure still makes sense.
Its value lies not in the current price, but in the dominance in the future AI economy.
It's worth paying more attention to in the future~