Compared with DeepSeek 67B, deepseek ai-V2 achieves stronger performance, and in the meantime saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the utmost technology throughput to 5.76 times. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of experts mechanism, allowing the mannequin to activate solely a subset of parameters during inference. As consultants warn of potential risks, this milestone sparks debates on ethics, safety, and regulation in AI growth.