1. Challenges and Solutions of MeshChain AI

Development and Deployment of AI Applications Face Significant Challenges

Large AI processing centers such as Amazon Web Services (AWS), Google Cloud, and leading tech companies like Meta AI and Gemini often cater to big enterprises with massive budgets. This leaves small and medium-sized enterprises (SMEs) struggling to access AI services due to high costs and minimum requirements far beyond their capabilities. Furthermore, these centralized systems pose risks such as security vulnerabilities, dependency on providers, and inflexibility during demand spikes, all while consuming enormous amounts of energy and contributing to increased carbon emissions.

• Why SMEs Need MeshChain AI and MeshNode

MeshChain AI and MeshNode provide a decentralized solution, enabling SMEs to access computing resources at significantly lower costs. This system ensures data security and control while offering the flexibility to scale up or down as needed. With a distributed network, MeshChain not only optimizes efficiency but also eliminates dependency on centralized data centers.

• A Sustainable and Cost-Efficient Solution

MeshNode leverages decentralized hardware devices, optimizing energy consumption and reducing emissions, contributing to environmental protection. It is not only a computing solution but also a sustainable strategy that helps SMEs overcome technological barriers, access AI at affordable costs, and enhance their competitiveness in an increasingly dynamic market.