If you’ve been watching the DePIN (Decentralized Physical Infrastructure Networks) space lately, you’ve probably noticed a major shift. We are no longer just looking at individual altcoins; we are watching the total unbundling of the traditional cloud (AWS, Google Cloud) into a decentralized, open-source stack.
Looking at DIMO, Dynex, GPUnet, and Fluence, a very clear picture of this new Decentralized Cloud is starting to emerge.
🧠 The Shared Trend: DePIN for AI and Data
What stands out is that these projects are building a verticalized cloud. In the Web2 world, infrastructure specialized into CDNs, data warehouses, and serverless platforms. We are seeing that exact same specialization happen in Web3:
Specialized Hardware is King: Whether it's cars on the road ($DIMO) or GPUs in data centers ($GPUnet/$DNX), the supply is being pooled on-chain to break centralized monopolies.
AI as the Engine: You need vehicle data to train models, GPUs to run them, and a runtime to host the AI agents. These projects are the fuel and the engine for the AI revolution.
💡 WHY FLUENCE STANDS OUT: The "Logical" Layer
While most DePIN projects focus on the "physical" (hotspots, sensors, GPUs), Fluence is building the Logical Layer.
Fluence's mission is to provide a "Cloudless" backend. It doesn't want to just sell you a server; it wants to give you a decentralized version of AWS Lambda.
Instead of renting a specific machine and managing it yourself, Fluence allows developers to deploy functions and services into a global marketplace. It acts as the Glue that connects raw resources:
An AI pipeline could pull data from DIMO...
Process it using a job on GPUnet...
And expose the final API through a service running on Fluence.
🌍 Summary: A Permissionless Future
The pattern here is clear: Web3 is moving away from "purely financial" memes and toward token-coordinated utility. Fluence is positioning itself as the neutral coordination plane where these physical resources become usable by developers. By eliminating vendor lock-in, they are turning compute into a shared public resource rather than a corporate product.