Compared with DeepSeek 67B, DeepSeek-V2 achieves stronger efficiency, and in the meantime saves 42.5% of coaching costs, reduces the KV cache by 93.3%, and boosts the utmost generation throughput to 5.76 instances. Mixture of Experts (MoE) Architecture: DeepSeek-V2 adopts a mixture of specialists mechanism, permitting the model to activate solely a subset of parameters during inference. As experts warn of potential risks, this milestone sparks debates on ethics, security, and regulation in AI development.