# What Is DePIN? The Infrastructure Layer Beneath Decentralised AI > DePIN turns idle hardware into coordinated infrastructure using token incentives. It is the physical layer that makes decentralised AI possible. Here is what it actually means, how it connects to AI, and where the gaps are. - Published: 2026-03-28 ยท Updated: 2026-09-27 - Canonical: https://ownyourmind.ai/why-deai/what-is-depin/ - Cite as: Own Your Mind (ownyourmind.ai), licence CC BY 4.0. Link the canonical URL. Charts and interactive widgets are omitted here; project data is at https://ownyourmind.ai/api/scores.json. --- ## The term and what it means DePIN stands for Decentralised Physical Infrastructure Networks. Messari coined the term in November 2022 via a Twitter poll that beat out three alternatives (Proof of Physical Work, Token Incentivised Physical Networks, and EdgeFi). It stuck because it described something specific: networks that use token incentives to coordinate the deployment and operation of physical infrastructure. The concept is older than the name. Helium was building a decentralised wireless network years before anyone called it DePIN. But the label created a category, and categories attract capital. DePIN startups raised roughly $1 billion in 2025, up from $698 million in 2024 (Messari State of DePIN 2025). Three conditions separate DePIN from "blockchain project that mentions hardware": 1. **Three-sided platform.** Suppliers provide hardware. A protocol coordinates and verifies. Customers pay for services. The suppliers and the protocol team are distinct entities. Bitcoin mining fails this test because miners are the service. 2. **Token-based supply incentives.** Tokens reward infrastructure providers, solving the cold-start problem. Without this, you're just a hosting company. 3. **Physical asset deployment.** The incentivised action involves real hardware in physical locations: GPUs, bandwidth, sensors, storage, vehicles. Pure software protocols don't qualify. ## Why decentralised AI needs a physical layer This site covers over forty projects building decentralised AI. Most of them need one of three physical resources at scale: compute (GPUs for inference and training), data (training datasets, real-time feeds, web scraping), or bandwidth (moving data between nodes). Without decentralised versions of these, "decentralised AI" is software running on someone else's cloud. The protocol might be permissionless, but the hardware underneath belongs to AWS, Google, or Microsoft. That dependency is not theoretical. Centralised cloud providers enforce terms of service, comply with government orders, and occasionally go down entirely. If the compute layer is centralised, the AI layer inherits every centralised failure mode. DePIN is what separates "decentralised AI protocol" from "decentralised AI that actually runs on decentralised infrastructure." DePIN solves this by creating markets for physical resources. Instead of one company owning all the GPUs, thousands of independent providers contribute hardware and get paid in tokens. The result is infrastructure that no single entity controls, censors, or can shut down. ## Two categories, one framework DePIN splits into two broad categories based on whether location matters: **Digital Resource Networks (DRNs)** provide fungible resources where it doesn't matter where the hardware sits. **Physical Resource Networks (PRNs)** deploy hardware in specific locations where geography matters. The AI connection runs through DRNs. When you run a model on [Akash](https://ownyourmind.ai/projects/akash/) or [Render](https://ownyourmind.ai/projects/render/), you're using DePIN compute. When [Grass](https://ownyourmind.ai/projects/grass/) scrapes the web through distributed bandwidth, that's DePIN data collection. When [Venice](https://ownyourmind.ai/projects/venice/) routes your prompt to a GPU provider, Venice says that hardware comes from multiple decentralised providers. ## The economics: cheaper but rougher DePIN compute networks typically price GPU access well below AWS. The cost advantage comes from aggregating globally idle resources: consumer GPUs, underused enterprise hardware, machines that would otherwise sit powered on but empty. The marginal cost of adding supply is near zero because the hardware already exists. The honest counter: cheaper doesn't mean better. For production workloads where downtime costs money, the price discount can evaporate once you account for overprovisioning and engineering overhead. ## The supply-without-demand problem Token incentives are brilliant at attracting hardware suppliers. Converting supply into paying customers is the hard part. Compound VC's analysis puts it directly: "the demand side is almost always the more difficult of the two to prove out." The DePIN flywheel works in theory. In practice, many networks are stuck at step one. io.net reported 327,000 registered GPUs in Q1 2025. Messari measured a daily average of about 6,700 active in the same quarter, and io.net's own explorer listed around 1,300 active devices in September 2026. Grass claims more than 8.5 million users. How many generate meaningful revenue for their operators? We've [written about this gap](https://ownyourmind.ai/why-deai/how-deai-actually-competes/) before: the distance between reported supply and verified demand is the defining feature of this market. The sector is early, not broken. The projects that survive will be the ones where customers pay for the service because it's useful, not because token subsidies make it temporarily free. ## Where DePIN is production-ready Not all categories are equally mature. **Compute (inference and rendering)** is the most developed. Akash averaged 58 active providers in Q1 2026 (Messari) and collects its lease fees on-chain. Render processes rendering jobs for paying studios. These aren't experiments. **Bandwidth and data** work at scale but revenue per contributor is thin. Grass claims massive user counts but individual earnings are measured in cents. The value accrues to the protocol, not the hardware provider. **Confidential compute** is emerging. [Phala](https://ownyourmind.ai/projects/phala/) provides TEE-based infrastructure that lets DePIN compute handle sensitive workloads. This is the missing piece for enterprise adoption: DePIN that can also guarantee privacy. **Machine economy infrastructure** is early. [peaq](https://ownyourmind.ai/projects/peaq/) and [IoTeX](https://ownyourmind.ai/projects/iotex/) are building the identity and payment layers that machines need to participate in DePIN networks autonomously. When your car pays for its own charging and your drone negotiates its own airspace, that's the machine economy. It's being built. It's not here yet. ## DePIN projects we review Each of these has a full review with a Freedom Score and a Returns Score. Grouped by the physical resource they coordinate: - **GPU and cloud compute:** [Akash](https://ownyourmind.ai/projects/akash/) (a reverse-auction cloud marketplace), [Render](https://ownyourmind.ai/projects/render/) (GPU rendering on Solana), [io.net](https://ownyourmind.ai/projects/io-net/) and [Aethir](https://ownyourmind.ai/projects/aethir/) (GPU aggregators), [Nosana](https://ownyourmind.ai/projects/nosana/) (inference-only GPUs), [Golem](https://ownyourmind.ai/projects/golem/), [Flux](https://ownyourmind.ai/projects/flux/), [NuNet](https://ownyourmind.ai/projects/nunet/) and [Theta](https://ownyourmind.ai/projects/theta-network/). - **Confidential compute:** [Phala](https://ownyourmind.ai/projects/phala/), which runs workloads inside hardware enclaves. - **Bandwidth and data:** [Grass](https://ownyourmind.ai/projects/grass/), which turns spare home bandwidth into a web-scraping network for AI training data. - **Storage:** [Walrus](https://ownyourmind.ai/projects/walrus/), Mysten Labs' storage network on Sui. - **Machines and robots:** [peaq](https://ownyourmind.ai/projects/peaq/) and [IoTeX](https://ownyourmind.ai/projects/iotex/) (chains for device identity and machine payments), [Auki](https://ownyourmind.ai/projects/auki/) (spatial computing) and [Openmind](https://ownyourmind.ai/projects/openmind/) (a robot operating system). To compare them side by side, use the [project comparison tool](https://ownyourmind.ai/projects/compare/). ## How this connects to what we cover Every project review on this site evaluates infrastructure through our [Freedom Score](https://ownyourmind.ai/resources/freedom-score-methodology/) and [Returns Score](https://ownyourmind.ai/resources/returns-score-methodology/). DePIN is the physical layer that determines whether a project's freedom claims have substance. A project can score well on governance and token distribution, but if all its compute runs on three AWS instances, the infrastructure dimension drags the score down. For a practical look at how to build your own sovereign infrastructure using DePIN components, see [The Sovereignty Stack](https://ownyourmind.ai/why-deai/the-sovereignty-stack/). For the case for running models on your own hardware instead, see [Why Self-Host Your AI](https://ownyourmind.ai/why-deai/why-self-host-your-ai/). DePIN is the part that turns "decentralised AI" from a protocol design into something that runs on hardware nobody controls. That's worth understanding.