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Societe Generale Securities: Performance vacuum period, continued focus on domestic computing power, physical AI and AI4S
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The Zhitong Finance App learned that Societe Generale Securities released a research report stating that it continues to be the leading domestic computing power leader on dips. Affected by increased fluctuations in overseas computing power leaders, the bottom of the domestic computing power sector fluctuated. Recently, the sector has been fully adjusted, and large orders for supernodes have continued to be implemented. The country's first Shengteng 950dt fully liquid-cooled supernode cluster has been put into operation in Inner Mongolia and Ringer; at the same time, localization of core chips has accelerated implementation. It is recommended to exchange time for space and continue to take advantage of the dips to lay out the core leaders in the sector.

Domestic open source flagship models are being implemented intensively. This week, Kimi's open source K3.1 Pro weights, with total parameters of 2.8 trillion yuan and 1 million contexts; Tencent released the official version of Hy4, introducing visual understanding and computer operation skills for the first time, and plans to open source weights. It is expected that WorkAgent's capabilities will continue to improve. According to OpenRouter, the 1026-1101 global model used 194 trillion tokens, an increase of 3.19% over the previous month; among the leading models, domestic ones used 99.55 trillion tokens, and DS V4.1 Flash ranked first.

Continue to focus on the physical AI and AI4S industries. Currently, we are in an empty performance window, and model iterations and new application scenarios are expected to usher in a rotating market. On the one hand, the generalization capabilities of physical AI models have recently accelerated, and there are incremental requirements for full-stack GPU requirements, physical AI models, physical data, and end-side AI. On the other hand, focus on the bottom application segments: AI4S, FDE, AI marketing, etc.

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