AI News 04月25日 17:37
How AI infrastructure is changing Solana’s price trends
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Solana正因其作为人工智能基础设施层的角色而备受关注。其高速、低成本的交易处理能力,使其成为AI开发者构建实时、去中心化应用的有吸引力的基础。Solana的技术架构能够支持每秒数千笔交易,且交易成本极低,为AI计算密集型操作提供了理想的生态系统。随着AI项目和集成在Solana上的推出,其价格也呈现出相应的增长趋势。Solana不仅为AI应用提供平台,还利用AI优化网络效率,并吸引了大量风险投资,推动了AI在Solana生态系统中的发展。

🚀 Solana因其高速、低成本的交易处理能力,吸引了AI开发者,成为构建实时、去中心化应用的基础。其独特的历史证明(PoH)机制,能够支持每秒数千笔交易,平均交易成本仅为0.036美元。

🌐 Solana正在成为AI驱动的去中心化应用的首选平台,涌现出Nosana、io.net和Grass等项目。这些项目依赖Solana的高吞吐量来维持实时推理、传输大数据流和执行微交易。

💰 Solana的低交易成本促进了token激励的联邦学习、自主模型市场架构和即时自主服务等概念的实现。区块链分析显示,与AI工具和服务相关的Solana交易活动激增。

💡 Solana也在利用AI优化其内部流程,Solana基金会开发机器学习模型,用于验证器集群和网络优化。算法通过流量模式预测可能的拥堵,从而保持Solana的低延迟。

💸 大量风险投资涌入基于Solana的AI项目,例如STARDEER的“STARDUST基金”、Seek Protocol的AR+AI平台以及Pioneer AI Foundry的去中心化教育工具投资。

As of April 2025, Solana price trends – hovering near $141 – are attracting renewed attention from investors and developers. While market fluctuations are typical in the cryptocurrency space, Solana’s price movements are tied increasingly to its evolving role as an infrastructure layer for artificial intelligence.

Solana’s technical architecture can handle high-speed, low-cost transactions, thus making it an appealing foundation for AI developers who build real-time, decentralised applications. The convergence of blockchain and AI is influencing the network’s utility and market valuation, creating new narratives around the future of scalable, intelligent systems.

Why Solana appeals to the AI industry

One appeal of Solana is its extremely agile performance. The network can theoretically support over 65,000 transactions per second (TPS), with real-world numbers averaging 3,000 to 4,500 TPS. This is possible because of the unique proof-of-history (PoH) mechanism, which timestamps transactions to enhance the validation process.

Considering the consistently low transaction costs – an average of $0.036 per transaction – Solana offers an ecosystem for computation-dominated AI operations. Blockchain technology, at this level, allows large-scale interactions without latency or high costs.

Solana pricing momentum mirrors AI integration

While the price of Solana generally mirrors the prevailing mood of the market, analysts have noted correlation between price movements and AI developments on the network. For example, the launch of AI-focused projects and integrations has caused price increases.

Distributing AI models for Solana

Solana is emerging as a go-to hosting platform for AI-powered decentralised applications. Some of the more prominent projects using the network for AI include:

These projects rely on the throughput of Solana to maintain real-time inference, moving large data streams, and executing microtransactions. Unlike many chains, Solana’s architecture accommodates AI applications that need to access the blockchain directly and quickly – without losing on cost.

Economic feasibility and AI-powered microtransactions

Most required micropayments in Solana for data, model updates, or compute payments, need to be executed frequently, via decentralisation. Through its fee structure, where the cost per interaction (transaction) is roughly $0.036, Solana guarantees low interaction costs.

This capability fosters concepts like token-incentivised federated learning, autonomous model marketplace architectures, and on-the-go autonomous services – which each depend on micro-interactions unfeasible on slower, more-pricey blockchains.

AI-related activity on the blockchain verifies its growth

Blockchain analytics show a surge in transaction activity in Solana associated with AI tools and services implementations. The network is capable of thousands of transactions per second; an increasing proportion of those include AI-related functions.

The number of active daily addresses on Solana has increased in parallel, due to growing activity from developers working with AI, machine learning infrastructure, predictive analytics and real-time automation systems.

The numbers show the demand for blockchain-associated workloads and development related to artificial intelligence is rising, which may help bolster Solana’s longer-term prospects and shape market sentiment – as evidenced by fluctuations in the price of Solana.

Solana uses AI for network efficiency

Solana’s contributions to artificial intelligence do not stop at decentralised apps. The network also uses AI for its internal processes, with the Solana Foundation developing ML models for validator clustering and network optimisation. Using traffic patterns and predicting possible blockages, algorithms help maintain the lower latency Solana is known for, even at busy times. This increases the network’s resilience for applications like live dashboards powered by AI or data processing systems on the blockchain.

Ecosystem investment AI momentum

Throughout last year, there was a great deal of venture capital investment in Solana-based projects that used AI add-ons. Important, funded projects include:

The funding helps build infrastructure for functions that drive on-chain activity – like AI model training, decentralised inference, data lineage and provenance, and more.

Closing thoughts

Transitions in Solana’s infrastructural, AI-transformable blockchain capabilities are changing the ecosystem’s scope. The architecture provides for services that demand speed, scalability and cost-effectiveness. Its features will help create next-generation, AI-dedicated, decentralised systems; effectively becoming serverless AI.

With increasing adoption of AI models with blockchain implementation, Solana is set to become a foundation where information, logic, and algorithms co-exist. The ongoing development of advanced intelligent infrastructure on the Solana network provides an opportunity to redefine perceptions of changes to Solana’s price.

(Image source: Unsplash)

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Solana 人工智能 区块链 去中心化应用 AI基础设施
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