Idle Smartphone Computing Power Aims to Build Decentralized AI Infrastructure
Current overview (not historical)
Projects such as Acurast and Phase are attempting to build decentralized AI infrastructure using idle smartphone computing power, positioning it as a lower-cost, lower-energy alternative to traditional AI data centers. Acurast claims to have connected more than 335,000 phones, with roughly 40,000 active daily and computing power equivalent to about 2,340 high-end data-center servers. Phase plans to route AI-agent traffic through a phone-based proxy network and charge fees in USDT. These figures come from the projects themselves and have not been independently verified. Device coordination, battery life, network stability, and economic incentives remain major challenges.
Written with AI from the reporting · updated 11/5/2026
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- 1Unclassified fact stationNov 5, 21:36single sourcereport-time onlyrevised
去中心化手机网络能否为AI革命提供算力?
Read original source ↗ CointelegraphReplay this moment in the explorerEvidence & revisions · 1 source records
- Subject:
- Acurast
- Action:
- claims to have onboarded
- Object:
- more than 335,000 smartphones to its network
- Occurred (fact side):
- not recorded
- Published (valid side):
- Nov 5, 21:30
- First seen (known side):
- Nov 5, 21:36
Fact stationSingle source · one-sided claimRevisedReport-time onlyCopy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.
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- CointelegraphRelated fact: single sourceFact occurrence time unverifiedSource report revisedCan Decentralized Phone Networks Power the AI Revolution?
Report first recorded Nov 5, 21:36
Cointelegraph reports that, facing scrutiny over AI data-center energy use and cost, projects such as Acurast and Phase are trying to use distributed smartphone computing power to build decentralized AI infrastructure. Acurast claims it has onboarded over 335,000 smartphones, with about 40,000 active daily, providing compute capacity equivalent to roughly 2,340 high-end data-center servers. Phase plans to use phones as proxies for AI agents and charge fees in USDT. However, device coordination, battery life, connectivity, and economic incentives remain major challenges.
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