Lately, it feels like the Web3 narrative is quietly shifting from apps back to infrastructure.
AI, DePIN, and real onchain workloads are scaling fast ,but they still depend heavily on centralized cloud providers. That dependency is becoming the weakest link.
Projects like $FLT (Fluence) stand out here. Cloudless, decentralized compute isn’t just a philosophy, it’s becoming a necessity as AI inference, GPU access, and uptime guarantees turn into bottlenecks. Verifiable execution and censorship-resistant compute will matter more as real demand comes onchain.
You can see similar infrastructure momentum across the ecosystem:
$PEAQ focusing on machine economies and DePIN coordination
$RNDR addressing GPU supply for AI workloads
$FIL continuing to anchor decentralized storage at scale
What’s interesting is how these pieces complement each other rather than compete. Storage, compute, coordination, and hardware access are all converging into a more resilient Web3 stack.
The next phase won’t be driven by hype cycles, it’ll be driven by whether infrastructure can actually handle real usage, real users, and real revenue. That’s where the long-term signal is starting to show.
#DePIN #Web3Infrastructure #DecentralizedCompute #AI #FLT
