I've noticed a real uptick in DePIN and decentralized compute projects lately, especially those tying into AI infrastructure. With AI demands skyrocketing, these networks are stepping up as alternatives to centralized clouds, distributing resources across global hardware for more resilience and efficiency.

Fluence $FLT stands out here—it's creating a permissionless compute marketplace where developers can run serverless apps on a verifiable network, directly supporting AI workloads by scaling without relying on big tech gatekeepers.

Render Network $RNDR is doing something parallel by decentralizing GPU rendering; it connects idle GPUs for tasks like 3D modeling and now AI training, broadening access to high-end compute.

Akash Network $AKT functions as an open cloud marketplace, letting providers lease out servers and users bid for resources, echoing DePIN's push for competitive, distributed alternatives to traditional hosting.

io.net $IO aggregates underutilized GPUs into clusters for AI inference and training, making it cheaper and more available than centralized options, which aligns with the growing need for scalable AI infra.

This shift feels like a natural evolution in Web3, where decentralization isn't just buzz—it's solving real bottlenecks in compute and AI.