Been seeing more momentum building around decentralized compute infrastructure lately—especially as AI workloads explode and centralized providers hit scalability bottlenecks.

DePIN-style projects are stepping in with real alternatives, distributing resources peer-to-peer for better resilience and cost efficiency.

A few that stand out for similar reasons:

Fluence $FLT: a serverless compute platform that enables developers to deploy code across a decentralized network of node providers, focusing on permissionless and verifiable execution.

Render $RNDR : a decentralized GPU network that connects creators needing high-performance rendering or AI tasks with idle hardware owners worldwide.

Bittensor $TAO : builds an open marketplace for machine learning, where nodes contribute models and data to collaboratively advance AI capabilities.

Akash Network $AKT : an open-source cloud marketplace that lets users bid on and deploy compute resources from global providers, undercutting traditional clouds on price.

These projects are tackling decentralized AI and compute from different but overlapping angles, and usage metrics (like network fees and deployments) suggest growing real demand