Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger performance, and meanwhile saves 42.5% of coaching costs, reduces the KV cache by 93.3%, and boosts the maximum technology throughput to 5.76 instances. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of specialists mechanism, allowing the model to activate solely a subset of parameters throughout inference. As consultants warn of potential risks, this milestone sparks debates on ethics, security, and regulation in AI growth.