Amazon is emerging as a serious challenger to Nvidia by focusing on cost-efficient AI at cloud scale through its custom Trainium and Inferentia processors, developed by Annapurna Labs. Trainium is designed for large-scale AI training, supporting advanced capabilities such as FP8 processing, Mixture of Experts, sparsity, and high-bandwidth memory. Inferentia is optimized for AI inference, enabling faster response times and lower operational costs. The biggest differentiator is Amazon's deep integration with AWS, allowing customers to access AI compute, storage, networking, and machine learning services through a unified cloud environment. Unlike Nvidia, whose strength lies in its CUDA ecosystem and premium performance, Amazon is targeting organizations seeking better price-performance and predictable economics. Many enterprises can reduce AI infrastructure costs significantly while maintaining production-grade capabilities. Globally, this competition is expected to diversify the AI hardware market, lower costs, accelerate innovation, and give enterprises greater flexibility in building and scaling next-generation AI solutions.