Ethereum is betting on Fusaka to sprint into the giga-gas era. PeerDAS can boost L2 capacity by 8 times, and the Gas Limit is being pushed directly to 60M, making the scaling pace look quite aggressive.
But there's a seriously underestimated problem: the more aggressively the network scales, the greater the pressure on validators.
Why? Because validators are still working in the dumbest way—recalculating every single transaction from scratch. A workload of 60M gas might still be manageable, but if we really aim for 1B gas, validators’ computational bottleneck will break before network bandwidth does. As scaling accelerates, the underlying execution architecture’s contradictions are being amplified.
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HorizonHunter
· 7h ago
Validators really could get stuck... The current execution model is basically a ticking time bomb; the faster the scaling, the more dangerous it becomes.
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MeaninglessApe
· 7h ago
Alright, just another bunch of optimism. Does nobody really want to talk about validators?
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ForkYouPayMe
· 7h ago
The validator part is indeed a ticking time bomb. The hardware costs are skyrocketing, and small retail investors simply can't afford to participate.
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token_therapist
· 7h ago
Validators are really a hidden risk that's being ignored. Everyone's just thinking about how to scale up, but no one actually cares whether they can keep up. By the time people react when the computational bottleneck blows up, it'll be too late.
Ethereum is betting on Fusaka to sprint into the giga-gas era. PeerDAS can boost L2 capacity by 8 times, and the Gas Limit is being pushed directly to 60M, making the scaling pace look quite aggressive.
But there's a seriously underestimated problem: the more aggressively the network scales, the greater the pressure on validators.
Why? Because validators are still working in the dumbest way—recalculating every single transaction from scratch. A workload of 60M gas might still be manageable, but if we really aim for 1B gas, validators’ computational bottleneck will break before network bandwidth does. As scaling accelerates, the underlying execution architecture’s contradictions are being amplified.