๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ฒ ๐—œ๐˜€ ๐—ก๐—ผ ๐—Ÿ๐—ผ๐—ป๐—ด๐—ฒ๐—ฟ ๐—ฎ ๐—–๐—ผ๐—บ๐—บ๐—ผ๐—ฑ๐—ถ๐˜๐˜†, ๐—œ๐˜โ€™๐˜€ ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐—ถ๐—ฐ ๐—œ๐—ป๐—ณ๐—ฟ๐—ฎ๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ

This week reinforced a clear shift: compute has become missionโ€‘critical infrastructure. Governments are investing billions into national AI hubs. Enterprises are moving beyond hyperscaler clouds as AI workloads demand lower latency, sovereignty, and predictable pricing. Centralized cloud alone canโ€™t meet this demand.

And Thatโ€™s Why Decentralized Compute Matters:

AI and ML workloads need freedom, transparency, and portability not lockโ€‘in or opaque pricing. Thatโ€™s where @Fluence shines: verifiable, permissionless compute, transparent pricing, and portable workloads across networks.

Alongside $FLT, $IO , $ICNT , $FLUX where this same compute vision

The Big Picture

The future isnโ€™t another centralized cloud, itโ€™s many decentralized compute markets where workloads and value flow freely.

These projects are building this postโ€‘cloud compute future.

#AI #DePIN