Filecoin recently unveiled the Fluence Project, representing a significant milestone as it merges artificial intelligence with decentralized computing mechanisms. The community anticipates leveraging its capabilities as a preferable alternative to centralized services. The Fluence Project introduces a custom L2 network to enhance cloudless computing.

Operating by pooling CPU resources from globally dispersed top-tier data centers, Fluence enables businesses to access similar services without relying on the cloud, thereby circumventing data lock-in and subjective censorship.

Positioned as a competitor to AWS Lambda, Fluence combines the advantages of scalable serverless computing with the resilience of censorship-resistant decentralization.

The introduction of the Fluence Project offers superior Web3 dApps, catering to users seeking decentralized services. Its presence in the ecosystem expands decentralized application use cases.

Fluence gains traction for its ability to deploy subnets, creating replicas ready to serve computations. Users can anticipate competition among compute providers and earn FLT rewards, while benefiting from zero fees compared to cloud platforms charging significant margins.

AI plays a role by demonstrating that AI models can be better trained with readily available specific data and unbiased queries.

FLT tokenomics drive the reward mechanism, with 1,000,000,000 FLT in supply and 5% initially in circulation. Analysts project an increase to 10% by the end of 2024, reflecting an uptick in FLT valuation by 1.5%.

Despite a temporary increase, FLT has retraced to $1.26, with a 1.53% decrease in the last 24 hours, and is available on Gate and ByBit exchanges.

Many members suggest that the project may be undervalued, with potential for growth in the future. FLT tokens are suitable for DAO voting and staking with compute providers.

This development follows the mainnet launch of the serverless computing platform on Filecoin, establishing Filecoin as a critical infrastructure for distributed computing.