Cloud infrastructure still depends heavily on a small number of providers such as AWS, Google Cloud, and Microsoft Azure. That concentration creates obvious advantages in scale, but also introduces risks around privacy, censorship, access, and systemic dependency.
Acurast approaches the problem from a different direction: instead of building new data centers, it uses computing power that already exists in billions of smartphones.
Modern mobile devices contain powerful processors and built-in security hardware such as Trusted Execution Environments and Hardware Security Modules. That makes them useful not only as distributed compute nodes, but also as environments where code execution can be cryptographically verified.
Acurast separates its infrastructure into consensus, execution, and application layers. Compute happens inside trusted hardware enclaves on participating devices, while attestation mechanisms verify that the hardware is genuine and that workloads execute without outside interference.
According to Acurast, the network already includes more than 308,000 phones across 175+ countries, has processed more than 1 billion transactions, and has supported more than 646,000 application deployments. Its use cases range from confidential AI inference and decentralized market intelligence to DeFi automation and transaction sequencing.
One of the most important differences between Acurast and many DePIN networks is its focus on verifiable computation. Distribution alone does not guarantee that code ran correctly. Acurast aims to prove not only where computation happened, but that it happened on genuine hardware and exactly as intended.
The article also looks at Acurast’s campaign with TokenLockr, a creator platform built around performance-based incentives.
The campaign allocated 500,000 $ACU, with only 10% of rewards fixed and 90% tied to performance KPIs. More than 45 creators produced over 200 pieces of content, and four out of five target price milestones were reached during the campaign.
TokenLockr founder Maxim Moris explains that the platform is designed to reward genuine community participation rather than empty engagement. The next step includes using LLM-based analysis to identify connected or farmed accounts and improve the quality of creator campaigns.
For Cicada, projects like Acurast are interesting because they show how DePIN can move beyond narrative into infrastructure with real usage, measurable demand, and verifiable execution.
The broader takeaway is that decentralized cloud computing may not require building entirely new hardware. Much of the infrastructure already exists in billions of devices around the world. The challenge is coordinating it securely, proving that computation is trustworthy, and building an economy around real demand rather than incentives alone.
