Meituan's trillion-parameter large model is open for testing, with the entire training process completed by a domestic computing cluster.

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AIMPACT News, April 24 (UTC+8), according to industry sources, Meituan's new generation foundational large model LongCat-2.0-Preview has opened for testing. The model's total parameter scale has exceeded one trillion, placing it among the world's top-tier large models. According to insiders, DeepSeek's new generation V4 large model released on the same day has a total parameter count and activated parameter count that are essentially the same as Meituan's LongCat-2.0-Preview. Beyond parameter scale, the greater breakthrough of Meituan's new generation foundational large model lies in the fact that its training and inference processes were entirely carried out on a domestic computing cluster. According to the aforementioned source, the number of computing cards deployed by Meituan during the training phase was between 50k and 60k, making it the largest large model training task completed on domestic computing power to date. (Interface News) (Source: BlockBeats)
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