AI Infrastructure Project Spheron Network Launches Token Issuance with Millions in Revenue

Recently, the decentralized computing network Spheron Network announced the start of its token generation event (TGE), attracting industry attention. The project claims to have achieved over 13 million dollars in annual recurring revenue (ARR), with AI business contributing 7.6 million dollars. This model of having substantial revenue before token issuance may become the new standard for AI infrastructure projects.

The core of Spheron Network is a distributed computing network that integrates global GPU and CPU resources to provide services for high-performance computing tasks such as AI training, inference, and rendering. In addition to computing power, the platform also offers supporting services such as IPFS storage and smart contract deployment, providing comprehensive infrastructure support for AI developers.

From a technical architecture perspective, Spheron has built a complete product matrix covering computing power supply to application scenarios. Among them, Fizz Nodes allow individual users, especially gamers, to contribute idle computing resources to the network and earn rewards, greatly lowering the threshold for computing power supply. KlippyAI, as an AI video creation tool, is directly aimed at end users, while Skynet explores an innovative model that allows AI agents to pay for computing power directly with tokens.

Operational data shows that Spheron has established a considerable scale network. Currently, there are 44,000 active nodes distributed across more than 170 countries, providing more than 8,300 GPUs and over 600,000 CPUs of computing power, with weekly node rewards exceeding $500,000. However, the sustainability of this bilateral market model still faces challenges, such as the stability of service quality in decentralized networks and issues related to cost competition with traditional cloud service giants.

The AI agent infrastructure market has great prospects, but competition is also becoming increasingly fierce. Multiple platforms such as Hyperbolic, IO.NET, etc. are actively laying out in this field. The market structure has not yet solidified, and the eventual winner may depend not only on technological advancement but also on outstanding performance in multiple dimensions such as product iteration speed, ecological construction capability, and service stability.

From a more macro perspective on industry trends, "token issuance with actual revenue" if it becomes the new standard for AI infrastructure projects, will undoubtedly drive the entire industry to focus more on actual products and revenue, rather than mere conceptual speculation. This shift may bring a healthier and more sustainable development model to the entire blockchain and AI integration field.