Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger efficiency, and meanwhile saves 42.5% of training costs, reduces the KV cache by 93.3%, and boosts the maximum era throughput to 5.76 times. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of experts mechanism, permitting the model to activate only a subset of parameters throughout inference. As consultants warn of potential dangers, this milestone sparks debates on ethics, security, and regulation in AI improvement.