Just saw that DeepSeek-V4 has been open-sourced, and this update is indeed quite impressive. The 1MB context window combined with the KV Cache compression algorithm significantly improves the ability to handle long sequences. However, this also presents challenges for infrastructure. I heard that Huawei's DCS AI solution has been fully adapted, utilizing their in-house hardware and software full-stack advantages to perform system-level optimizations. It seems that the DCS solution has some interesting approaches to meeting the infrastructure demands of large models. Have you used the DCS solution before?

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