The current growth rate of AI computing power demand far exceeds the expansion speed of hardware capacity. Simply expanding data centers cannot bridge this gap and may instead concentrate costs and risks in a few regions.
The real breakthrough lies in reconfiguring computing power. By leveraging GPU resources worldwide, computing can be brought closer to the development and deployment teams. This not only reduces latency but also improves resource utilization efficiency. A decentralized computing power supply chain is becoming a key solution to cope with the explosive growth of AI.
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GasGuru
· 11h ago
Decentralized computing power sounds good, but how many of them can actually be implemented? It seems that large corporations still dominate the market too heavily.
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AirdropNinja
· 11h ago
Decentralization is the right path; the centralized data center model should have been phased out long ago.
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CryptoDouble-O-Seven
· 11h ago
The path of distributed computing power is indeed unavoidable; the approach of centralized data centers has already reached its ceiling.
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Tokenomics911
· 11h ago
The logic of decentralized computing power should have been promoted long ago; centralized data centers are just a trap.
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SchrödingersNode
· 11h ago
Decentralized computing power, well, it's not wrong to talk about it, but it's not that simple...
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Another story about data centers, but this time the approach is indeed different.
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GPU decentralized configuration sounds great, but who is responsible for the actual coordination costs?
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The latency issue has been solved, but what about cross-domain data consistency? No one mentions it?
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No, this is actually the right direction to invest in. Centralized data centers should have been broken through long ago.
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It feels like just moving the problem from geographical location to the network layer, without a fundamental solution.
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That said, if a global computing network really forms, it would indeed change the game.
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This concept has been hyped for two years. Is there a practical solution now?
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Finally, someone sees through this. Simply stacking servers will eventually fail.
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The key is who will maintain this decentralized system; operational costs could be even more outrageous.
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TokenomicsDetective
· 11h ago
I think the logic of the decentralized computing power chain is okay, but how can we ensure that data synchronization doesn't have issues? If latency is reduced, will the decreased security possibly fall behind?
The current growth rate of AI computing power demand far exceeds the expansion speed of hardware capacity. Simply expanding data centers cannot bridge this gap and may instead concentrate costs and risks in a few regions.
The real breakthrough lies in reconfiguring computing power. By leveraging GPU resources worldwide, computing can be brought closer to the development and deployment teams. This not only reduces latency but also improves resource utilization efficiency. A decentralized computing power supply chain is becoming a key solution to cope with the explosive growth of AI.