DeepSeek-V3, is a open-weights large language model. DeepSeek-V3's key features include its remarkably low development cost, achieved through innovative techniques like inference-time computing and an auxiliary-loss-free load balancing strategy. The model's architecture utilizes Mixture-of-Experts (MoE) and Multi-head Latent Attention (MLA) for efficiency. Extensive testing on various benchmarks demonstrates strong performance comparable to, and in some cases exceeding, leading closed-source models. Finally, the text provides recommendations for future AI hardware design based on the DeepSeek-V3 development process.https://arxiv.org/pdf/2412.19437v1

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