DeepSeek has recently unveiled two advanced large language models: the flagship #DeepSeek-V4-Pro 1.6T, boasting an impressive 1.86 trillion parameters, and the efficient DeepSeek-V4-Flash 284B, with 284 billion parameters.
In response to DeepSeek's latest innovations, "#FlagOS," an AI operating system led by the Beijing Academy of Artificial Intelligence (BAAI), promptly completed full adaptation for both models. Specifically, FlagOS has successfully achieved day-zero full adaptation and inference deployment of the DeepSeek-V4-Flash model on over eight leading #AI chips. The supported hardware platforms encompass a range of domestic and international accelerators, including Haiguang, Muxi, Huawei Ascend, Moore Threads (with FP8 support), Kunlunxin, T-Head Zhenwu, Tianshu, and NVIDIA (with FP8 support).
Furthermore, the FlagOS team is actively progressing with the migration and adaptation of the DeepSeek-V4-Pro model across multiple chips. These adaptation efforts are slated for future open-sourcing, which is expected to significantly enhance the integration of large models with diverse AI hardware ecosystems and bolster the development of independent and controllable AI computing infrastructure, particularly within China.
