The latest generation of AI inference chips is showing impressive efficiency gains. According to recent technical specifications, the newer architecture can slash inference token costs by up to 10 times compared to previous generations—a game-changer for large-scale deployments. Even more striking: training models on this platform requires roughly 4 times fewer GPUs than earlier designs like Blackwell. For anyone running compute-heavy operations in the Web3 space, these efficiency improvements translate directly to lower operational costs and better resource utilization.