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NeurochainAI launches a new platform for creating AI dApps

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NeurochainAI has introduced a new platform to make AI development more accessible worldwide.

This platform aims to simplify the process of creating, releasing and using Decentralized applications powered by artificial intelligence (dApps) by combining machine learning with blockchain technology. NeurochainAI hopes this integration will improve scalability, transparency and data security in AI applications.

The NeurochainAI platform has 82,000 registered users and 48,000 connected wallets. It is designed to promote community participation in building and validating AI models. Their community-driven approach ensures the accuracy of AI models and improves their performance, offering a unique advantage in the competitive AI market.

“Our platform brings the world closer to inclusive and democratic AI development,” said Julius Serenas, CEO of NeurochainAI. “We offer developers a suite of tools and resources from our decentralized AI infrastructure that places consumer-grade DePIN GPUs at the center of our operations to deliver increasingly valuable GPU compute in the age of AI paired with other essential tools to simplify AI solution development.”

The platform reduces time to market dApp AI up to 24 times compared to traditional methods.

Global AI

THE global artificial intelligence market it is valued at $500 billion and is expected to reach $1.8 trillion by 2030. This growth is primarily driven by technological advancements and major investments in the sector.

NeurochainAI builds on this growth by offering AI infrastructure, including the first consumer-grade decentralized DePIN GPU for community-powered AI processing, data collection and validation. They also optimize AI model markets and interoperability tools for integrating any technology stack on Web2 and Web3.

NeurochainAI uses a layered approach to provide decentralized AI-as-a-Service (DAIAS), which reduces barriers to entry and allows developers to build and launch AI applications with greater efficiency.

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