Decentralized computing power networks are reshaping the cost structure of cloud services. One project uses a distributed node architecture to reduce GPU computing costs to $0.1-0.5/hour, compared to traditional cloud service rates of $0.5-2.0/hour, directly cutting 50-80% of costs.
Even more interesting is resource utilization. Traditional cloud services often only operate at 30-50% utilization due to peak demand reservations, wasting computing power. Decentralized networks, through global node collaboration, can push this number above 80%, significantly reducing idle costs.
In terms of performance, it’s not just about being cheap. Network latency has been optimized by deploying nearby nodes by 30-50%, and 99.9% SLA availability guarantees are on par with traditional providers. Achieving this level in a distributed architecture demonstrates solid engineering capabilities.
From a market perspective, the global AI computing power market is expected to continue expanding through 2025. The monopoly of traditional cloud services is being broken, and decentralized computing gradually becomes the preferred choice for cost-sensitive applications. This model can effectively complement the computing power needs of the Web3 ecosystem and the cost reduction demands of traditional AI companies.
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GateUser-4745f9ce
· 56m ago
Wow, cutting 50-80% of costs? That number sounds a bit unbelievable... But an 80% utilization rate really does slap AWS in the face.
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MissedTheBoat
· 01-07 04:52
Damn, is this cost reduction really true? Only real testing can prove it.
The price war has reached this point, traditional cloud providers must be panicking.
With both distributed architecture and global nodes, how is stability guaranteed? How much of it is hype?
80% utilization? Then how is the idle penalty mechanism designed? Could it cause new problems?
99.9% availability sounds good, but actual data in production environment will tell the truth.
If this really materializes, NVIDIA's days will have to be recalculated.
I just want to know what configuration the project team is running themselves, do they dare to publish stress test reports?
Is it more hype or real substance? Time will tell.
Web3 needs cheap computing power, no doubt, but how are security and privacy balanced?
Aiming for an 80% cost reduction sounds great, but is there an under-the-radar increase in operational costs?
If this really succeeds, it's like hitting the jackpot.
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staking_gramps
· 01-07 04:51
Wow, a 50-80% cost difference? If that's true, AWS and Azure must be freaking out.
Traditional vendors with a 30-50% utilization rate are really wasting resources to the max. The distributed approach is indeed brilliant.
Wait, can 99.9% SLA be reliably maintained? Are decentralized nodes really that dependable...
I believe in cost reduction, but do you really dare to rely on stability?
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StablecoinAnxiety
· 01-07 04:50
This price war is quite intense, traditional cloud providers must be panicking.
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A 50-80% reduction, can it really be stable or is it just another PPT project?
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Wait, 80% utilization? What about stability? Who's responsible if something goes wrong?
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If the competition gets too fierce, someone will eventually can't hold on. It all depends on who can survive until the end.
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It's interesting, but does decentralization = cheaper really hold up? What about the risks?
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SLA of 99.9% sounds easy to say, but I have my doubts whether it can be achieved in practice.
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Wow, more cost-cutting, but in the end, isn't it still about fallback plans from big companies?
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TeaTimeTrader
· 01-07 04:46
You really have to put it into practice to know; just looking at the numbers is too abstract.
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WalletDetective
· 01-07 04:41
Damn, cutting 50-80% of costs? If that's true, AWS should be panicking.
It's really outrageous that 80% of resources are idle for traditional cloud providers. They're just waiting to be eaten by decentralization.
This logical chain is indeed solid. But I wonder if the delay optimization can truly be stable.
Wait, can it really reach 80% utilization? Feels a bit too ideal.
Cheap is cheap, but who will guarantee 99.9% availability?
The Web3 computing power demand has indeed been fed well. The spring of AITs is here.
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LiquidityWizard
· 01-07 04:34
I'm not waiting anymore, this price difference is really incredible... 0.1-0.5 vs 0.5-2.0, the big cloud companies are really cornered this time.
Decentralized computing power networks are reshaping the cost structure of cloud services. One project uses a distributed node architecture to reduce GPU computing costs to $0.1-0.5/hour, compared to traditional cloud service rates of $0.5-2.0/hour, directly cutting 50-80% of costs.
Even more interesting is resource utilization. Traditional cloud services often only operate at 30-50% utilization due to peak demand reservations, wasting computing power. Decentralized networks, through global node collaboration, can push this number above 80%, significantly reducing idle costs.
In terms of performance, it’s not just about being cheap. Network latency has been optimized by deploying nearby nodes by 30-50%, and 99.9% SLA availability guarantees are on par with traditional providers. Achieving this level in a distributed architecture demonstrates solid engineering capabilities.
From a market perspective, the global AI computing power market is expected to continue expanding through 2025. The monopoly of traditional cloud services is being broken, and decentralized computing gradually becomes the preferred choice for cost-sensitive applications. This model can effectively complement the computing power needs of the Web3 ecosystem and the cost reduction demands of traditional AI companies.