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The three-stage evolution of the Solana AI ecosystem: the on-chain DeAI future is promising.
Development and Future Prospects of Solana's AI Ecosystem
Solana, as a high-performance public blockchain, has a long-standing layout in the AI field, covering a wide range. This article will outline the development of Solana's AI ecosystem in three stages and explore its future prospects.
Phase One: DePIN Ecosystem Explosion, DeAI Sprouting
In the early days, a number of decentralized infrastructure projects emerged on Solana, laying the foundation for the AI ecosystem.
These projects have actively explored the infrastructure field where blockchain and AI converge, opening a new chapter for DeAI.
Phase Two: AI Agent Flourishing in Multiple Aspects
With the improvement of large language model capabilities, multiple AI Agent projects have emerged on Solana:
In addition, there are the Agent framework ARC, SWARMS, the DeFAI platform GRIFFAIN, BUZZ, and others. At this stage, Solana has become one of the earliest public chains to reap the prosperity of on-chain AI Agents.
Phase Three: Stepping Towards On-Chain DeAI More Solidly
As the market returns to rationality, a number of more pragmatic DeAI infrastructure projects have emerged on Solana:
The quality of these projects has significantly improved, with a greater focus on solving practical problems.
Solana AI Ecosystem Advantages
Speed and cost advantages: After the upgrade, the confirmation time is reduced to 150 milliseconds, making it more suitable for real-time AI applications.
Good liquidity: Mature DeFi ecosystem supports the circulation of AI tokens
Smart Contract Support: SVM efficiently handles complex logic, suitable for AI tasks
Degree of Decentralization: The number of nodes is expected to further increase after the upgrade.
Ecological Linkage: A complete ecosystem supports cross-domain collaboration for AI projects.
The Alpenglow upgrade will further enhance Solana's competitiveness in the AI field. However, whether it can uphold the narratives of "on-chain Nasdaq" and AI still requires time to test.