Decentralized computing in artificial intelligence (AI) is gaining traction as a cost-effective and privacy-enhancing alternative to centralized systems dominated by providers like Amazon Web Services. By tapping into underutilized GPUs worldwide, decentralized platforms offer affordable computing power, democratizing AI development for smaller businesses. Data privacy concerns are addressed through federated learning and secure decentralized providers, ensuring user control over data. Challenges such as node security and data exposure are being tackled with blockchain technology and privacy-preserving techniques like Federated Learning and Homomorphic Encryption. While decentralized networks may face efficiency issues, advancements in AI techniques can optimize performance. The integration of blockchain with AI shows promise in enhancing data integrity and governance in decentralized systems. Collaborative efforts are essential to overcome challenges and realize the transformative potential of decentralized AI for a more equitable and innovative future. Read more AI-generated news on: https://app.chaingpt.org/news