Lately, I’ve been noticing a strong convergence in the Web3 narrative — one where decentralized compute ($FLT), data infrastructure ($PYTH), AI networks ($AKT, $TAO), and DePIN real-world layers ($PEAQ, $HUMA) are starting to form an interconnected foundation.
Each of these projects tackles a different bottleneck of the centralized internet:
$FLT (Fluence) is building the decentralized compute marketplace — letting developers deploy backend logic without relying on AWS or GCP. It’s the missing layer between DePIN devices and onchain AI.
$AKT (Akash) and $TAO (Bittensor) push open-access AI and GPU compute to new levels.
$PYTH brings verified, real-world data onchain — a crucial link for intelligent, autonomous systems.
$PEAQ expands the network to machines and physical infrastructure, enabling verifiable real-world input.
Together, these ecosystems are sketching the next architecture for trustless coordination — where intelligence, computation, and infrastructure don’t depend on a single entity.
Fluence ($FLT) stands out because it connects these pieces: it’s where applications actually run. Not just data feeds or GPUs — but logic, APIs, and AI agents that live on open protocols.
We’re slowly watching the decentralized cloud become a living system — compute as commons, not a product.
