Running AI workloads eats up massive CPU and GPU resources. The problem? Your machine starts lagging hard. System loads spike unpredictably, creating serious instability. For Supernodes, this isn't just annoying—it's a operational threat. When computing resources get hijacked by AI processes, node performance tanks. Responsiveness drops. Reliability becomes questionable. The infrastructure that's supposed to stay rock-solid suddenly can't handle the dual pressure of maintaining network operations while feeding AI's hunger for processing power.

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CoffeeOnChainvip
· 14h ago
AI consumes resources like crazy, Supernode has basically become a crippled old guy. Hmm... so we really need to come up with an isolation solution, otherwise we're done for. That's why I said the competition for computing power will get out of hand... No one has really figured out the resource contention issue, it's awkward.
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GweiObservervip
· 15h ago
ngl this is exactly the pain point of web3 infrastructure. AI consumes resources too aggressively; even supernodes can't handle it.
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HashBrowniesvip
· 15h ago
AI's consumption of computing power should have been addressed long ago; supernodes are taking off directly.
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GasGrillMastervip
· 15h ago
AI is really resource-hungry; the nodes are completely drained.
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BTCRetirementFundvip
· 15h ago
Oh, so that's why my node keeps dropping off the chain. Turns out AI is such a resource hog. --- The GPU is completely maxed out, no wonder it can't run properly. --- Supernodes are taking a big hit—resource competition is really an unavoidable pitfall. --- Basically, you can't have your cake and eat it too. You have to choose between AI and stability. --- Feels like this is just an inevitable pain point for early infrastructure. Everyone has to go through it.
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