๐จ๐ฐ ๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐ ๐๐ ๐๐๐๐๐๐ ๐๐๐ ๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐๐๐โ๐ ๐๐๐๐ ๐๐
Decentralized compute is no longer optional. While projects like $RENDER $ATH and $AKT highlight the demand for on-chain compute, the bigger opportunity is how compute is delivered at scale.
This is where @Fluence leads and as;
โ AI compute demand is growing 4โ5ร every year
โ Chip efficiency improves only ~2ร every two years
Waiting for better GPUs isnโt a strategy.
@Fluence ($FLT) solves this by expanding global compute supply by aggregating idle and underutilized servers into a permissionless, decentralized compute network reducing costs, removing hyperscaler dependence, and enabling scalable AI inference and agent workloads.
This is Why Fluence matters:
๐๐ผ Built for always-on inference & AI agents
๐๐ผ Globally distributed compute, not region-locked cloud capacity
๐๐ผ Lower costs by eliminating cloud rent extraction.
๐๐ผ Resilient, censorship-resistant infrastructure for the AI era
Training may remain centralized, but AI inference is where the curve goes vertical and Fluence is positioned right at that inflection point.
When chips canโt scale fast enough, networks must.
Thatโs the Fluence thesis.
