The new paradigm of computational economics is taking shape.
Imagine a fully coordinated supply chain system — edge nodes, GPU clusters, and cloud resources no longer operate independently, but as a unified execution layer working in harmony. This is not just a technological upgrade, but a restructuring of the economic framework.
How to achieve this? Through a combined approach of parallelized EVM and hybrid inference stack:
**Edge Layer** handles fast, low-latency lightweight model tasks, reducing network round-trip by being close to the user; **Cloud and GPU Providers** focus on compute-intensive inference work, leveraging hardware advantages; **L1 Layer** ensures a trust foundation by anchoring and verifying decision hashes — all critical computational results are traceable and verifiable.
The core is the invisible **Scheduler**, which spans heterogeneous computing environments, coordinating workload distribution, execution, and result aggregation like a central nervous system.
The significance of this architecture lies in: retaining the speed advantage of edge computing, harnessing the deep computing power of centralized cloud resources, and ensuring a decentralized trust mechanism through blockchain L1. The three are no longer in competition but are complementary — the democratization of computing is truly beginning.
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YieldChaser
· 2025-12-31 01:28
If this scheduler can truly run like the central nervous system, then the democratization of computing power will have a chance.
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BearMarketBuilder
· 2025-12-30 14:09
I'm curious about the scheduler part. Can it truly coordinate so many heterogeneous environments seamlessly? Or is it just another方案 that sounds good but actually has an explosion of complexity?
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gas_fee_therapy
· 2025-12-28 06:53
Does this scheduler sound like the central processor of a blockchain? Could it eventually become the new bottleneck?
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AirdropFreedom
· 2025-12-28 06:53
Sounds like just another perfect theoretical framework; whether it can be successfully implemented in practice remains to be seen.
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Edge + Cloud + Chain three-layer division of labor sounds great, but I'm afraid the scheduler might become the new centralized bottleneck.
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Interesting. If this scheduler is truly that smart, how much would it be worth?
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Talking about democratizing computation again? Wasn't the last time or the time before that? Haha.
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EVM parallelization? I think a new round of gas wars is coming.
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The core still depends on whether that scheduler can truly achieve seamless coordination; otherwise, it's just a PPT plan.
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For this system to run smoothly, the pricing power of GPU providers will really be gone.
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Feels like a repackage of the traditional CDN + cloud computing concept, just with a different blockchain shell.
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SatoshiChallenger
· 2025-12-28 06:39
It's the same old "new paradigm" and "truly beginning" rhetoric... Data shows that the last distributed computing project to be hyped like this had a three-year clearance rate of 94% [cold laugh]
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GhostAddressHunter
· 2025-12-28 06:28
If the scheduler can truly work like the central nervous system, that would be awesome.
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Again with "democratization"—this term has been overused, hasn't it?
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The combination of edge + cloud + blockchain sounds promising, but who guarantees that no one is cutting corners in the middle?
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Isn't this just outsourcing computation to various big players, ultimately relying on L1 for the final safety net?
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Hybrid reasoning stack... Basically, it's a coordination problem. Who will clean up the technical debt in the end?
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Speed advantage + computational depth + trust mechanisms—three-pronged approach sounds great, but how does it actually get implemented?
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Supply chain coordination sounds simple, but how are the costs of heterogeneous environments calculated?
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The real core is whether that scheduler is reliable; everything else is just superficial.
The new paradigm of computational economics is taking shape.
Imagine a fully coordinated supply chain system — edge nodes, GPU clusters, and cloud resources no longer operate independently, but as a unified execution layer working in harmony. This is not just a technological upgrade, but a restructuring of the economic framework.
How to achieve this? Through a combined approach of parallelized EVM and hybrid inference stack:
**Edge Layer** handles fast, low-latency lightweight model tasks, reducing network round-trip by being close to the user; **Cloud and GPU Providers** focus on compute-intensive inference work, leveraging hardware advantages; **L1 Layer** ensures a trust foundation by anchoring and verifying decision hashes — all critical computational results are traceable and verifiable.
The core is the invisible **Scheduler**, which spans heterogeneous computing environments, coordinating workload distribution, execution, and result aggregation like a central nervous system.
The significance of this architecture lies in: retaining the speed advantage of edge computing, harnessing the deep computing power of centralized cloud resources, and ensuring a decentralized trust mechanism through blockchain L1. The three are no longer in competition but are complementary — the democratization of computing is truly beginning.