In the current context of rapid development in the Web3 and AI fields, Spheron, as a full-stack AI infrastructure network, is attracting industry attention. Unlike many projects that are still in the conceptual stage, Spheron has already achieved substantial growth with an annual revenue exceeding ten million.

The Spheron ecosystem encompasses multiple product lines including Skynet, Klippy_AI, Fizz, RaaS, and Spheron Compute. Currently, its network has over 8,300 GPUs, 614,000 CPUs, and more than 44,000 Fizz nodes, demonstrating strong practical application capabilities.

As a comprehensive AI infrastructure network, Spheron offers six core modules including GPU, CPU, storage, deployment, scheduling, and data loading. Its goal is to provide developers with a one-stop decentralized AI service solution.

Compared to competitors like Aethir, IO.NET, and Akash, Spheron's advantages primarily lie in three aspects: First, it has a complete full-stack ecosystem that covers the entire process from computing power deployment to front-end applications; second, it already has launched products and actual revenue; finally, it has established a closed-loop token model $SPON, which is not only used for resource payment and node incentives but is also linked to revenue, allowing token holders to earn returns in various ways.

As the Token Generation Event (TGE) approaches, the market's expectations for Spheron are heating up. The official Twitter has announced several pre-trade information from exchanges, and its actual product revenue provides a solid foundation for valuation.

Looking ahead, Spheron plans to continue expanding the GPU market capacity, introducing AI agent modules, supporting fine-tuning services for large language models (LLM), and achieving smarter resource allocation through Skynet routing.

At the current stage of AI infrastructure development, transitioning from the narrative phase to the implementation phase, Spheron is gradually establishing its position in the industry with its actual revenue and implementation capabilities. With the continuous advancement of AI technology, projects like Spheron that can provide real value may occupy a more important position in future markets.