2.3 Foreseeable innovation of distributed computing power economic model

By building a mobile phone cluster into an Edge Computing as a Service (ECaaS) network, Computing power crowdsourcing market

• Users contribute computing power during idle time (such as charging at night) and receive dynamic pricing benefits

• Demanders (such as AI startups) can purchase distributed TPU resources on demand at a cost of only 1/5 of AWS

Storage Sharing Agreement

• Use the remaining storage space of the device (average 86GB/device) to build an IPFS network, reducing storage costs by 70%

• Data is encrypted and stored redundantly across devices, significantly improving availability

At the same time, large-scale mobile phone DePin clusters will also derive a new computing paradigm around computing power.

a.Hash rate futures market

• Users can pre-sell future idle computing power (such as night time)

• Smart contracts automatically match supply and demand and lock in prices

• Default penalty mechanism ensures contract execution (using margin deposit and penalty model)

b.Storage derivatives

• Developing storage option products based on storage capacity

• Allows hedging of storage price fluctuation risks

• Support cross-regional arbitrage (taking advantage of storage cost differences in different regions)

According to Gartner's forecast, the distributed computing market will reach US$140 billion by 2026, of which mobile phones will contribute more than 60%, forming a truly universal AI infrastructure.