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A new peer-to-peer marketplace for AI inference has gone live on the Virtuals Protocol, and early numbers suggest it's already seeing real use. The platform, built by Halo, processed 8 billion tokens in its first few weeks — a figure that points to growing demand for decentralized alternatives to traditional cloud-based AI services.
How the marketplace works
Instead of relying on centralized providers like AWS or Google Cloud, Halo's marketplace lets users buy and sell AI inference directly with each other. Sellers offer compute power for running AI models, while buyers pay in tokens for access to that processing. The system runs on Virtuals Protocol, a blockchain-based platform designed for AI agents and decentralized applications.
Inference — the process of running a trained AI model to generate outputs — is typically done on expensive cloud servers. By creating a peer-to-peer network, Halo aims to lower costs and open up access for smaller developers and projects that might otherwise be priced out.
Early traction: 8 billion tokens processed
The 8 billion tokens processed in the marketplace's early weeks represent a significant amount of activity. While token counts don't directly translate to revenue or user numbers, they indicate that the network is being used for real inference tasks. The figure suggests that both buyers and sellers are finding value in the platform, even at this early stage.
Halo hasn't disclosed how many users or nodes are on the network, but the volume alone is enough to attract attention from the broader AI and crypto communities. The marketplace is still in its infancy, and growth could accelerate as more developers integrate with Virtuals Protocol.
If peer-to-peer inference takes off, it could disrupt the traditional cloud market. Right now, a handful of big companies control most of the compute power used for AI. That centralization creates bottlenecks, high prices, and single points of failure. A decentralized marketplace could spread the load across many smaller providers, making the system more resilient and competitive.
For the AI ecosystem, this means lower barriers to entry. Developers
A new peer-to-peer marketplace for AI inference has gone live on the Virtuals Protocol, and early numbers suggest it's already seeing real use. The platform, built by Halo, processed 8 billion tokens in its first few weeks — a figure that points to growing demand for decentralized alternatives to traditional cloud-based AI services.
How the marketplace works
Instead of relying on centralized providers like AWS or Google Cloud, Halo's marketplace lets users buy and sell AI inference directly with each other. Sellers offer compute power for running AI models, while buyers pay in tokens for access to that processing. The system runs on Virtuals Protocol, a blockchain-based platform designed for AI agents and decentralized applications.
Inference — the process of running a trained AI model to generate outputs — is typically done on expensive cloud servers. By creating a peer-to-peer network, Halo aims to lower costs and open up access for smaller developers and projects that might otherwise be priced out.
Early traction: 8 billion tokens processed
The 8 billion tokens processed in the marketplace's early weeks represent a significant amount of activity. While token counts don't directly translate to revenue or user numbers, they indicate that the network is being used for real inference tasks. The figure suggests that both buyers and sellers are finding value in the platform, even at this early stage.
Halo hasn't disclosed how many users or nodes are on the network, but the volume alone is enough to attract attention from the broader AI and crypto communities. The marketplace is still in its infancy, and growth could accelerate as more developers integrate with Virtuals Protocol.
If peer-to-peer inference takes off, it could disrupt the traditional cloud market. Right now, a handful of big companies control most of the compute power used for AI. That centralization creates bottlenecks, high prices, and single points of failure. A decentralized marketplace could spread the load across many smaller providers, making the system more resilient and competitive.
For the AI ecosystem, this means lower barriers to entry. Developers
