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DiffuSpace's significant funding indicates strong market confidence in its global diffusion language model (dLLM) architecture, specifically for scaling parameters and vertical adaptation. The involvement of major infrastructure partners like Huawei Hubble suggests a strategic focus on building the compute backbone necessary for next-generation generative models. This capital injection directly supports the development and potential open-sourcing of advanced dLLMs, marking a pivotal moment for diffusion-based large language model ecosystems.

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DiffuSpace Raises Hundreds of Millions in Two Funding Rounds, Setting Global Record for Diffusion Language Model Financing

36Kr9 octombrie 20261 min de cititArticolul și perspectiva sunt în engleză.

36Kr reports that DiffuSpace has successfully completed two consecutive funding rounds totaling hundreds of millions of RMB, setting a global record for the largest financing round for a diffusion language model (dLLM). The rounds were led by Matrix Partners China, Shunwei Capital, and Junlian Capital, with participation from iStar Innovation, Huawei Hubble, Horizon Robotics, and others. Funds will primarily be used for model training, infrastructure development, and adaptation to vertical scenarios. DiffuSpace is currently advancing the training of a next-generation dLLM with larger parameter scale and plans to release and open-source it in the near future.

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