DeepSeek V4 Technical Report Details Efficient Training at Scale with Novel Parallelism Strategy

DeepSeek has released the technical report for DeepSeek V4, detailing a hybrid pipeline-tensor parallelism strategy that reduced training compute costs by an estimated 35% compared to equivalent dense model approaches. The 600B parameter mixture-of-experts model achieves state-of-the-art results on the DeepSeek-Prover benchmark and Chinese language tasks. Full model weights and a quantized 4-bit version are available under an open-source license.