海光信息与中科曙光分道扬帆 双双回应终止重组原因

Core Viewpoint - The merger between Haiguang Information and Zhongke Shuguang has been terminated, allowing both companies to accelerate their independent development in their respective fields of computing power [2][4]. Group 1: Stock Price Changes - Both companies experienced significant fluctuations in their stock prices since the announcement of the merger plan, with Haiguang Information's stock rising by up to 90% and Zhongke Shuguang's stock nearly doubling [4]. - The decision to terminate the merger was influenced by the substantial changes in the secondary market stock prices, driven by various factors including domestic and international environments, overall A-share market trends, and AI industry dynamics [3][4]. Group 2: Merger Termination Explanation - The termination was announced during an investor briefing, where executives from both companies denied any inadequacy in information disclosure, stating that the decision was made based on the evolving market conditions and the complexity of the merger [6][7]. - The companies emphasized that they had conducted thorough evaluations of the merger proposal, but the market environment had changed significantly since the initial planning stages [6][7]. Group 3: Future Collaboration and Strategy - Despite the termination, both companies plan to maintain independent operations while enhancing strategic collaboration, focusing on their core areas: Haiguang Information on chip design and Zhongke Shuguang on computing infrastructure [7][8]. - The companies aim to create a dual-core structure in the domestic computing power industry, promoting healthy competition and collaboration among chip manufacturers and system integrators [8]. Group 4: Market Position and Product Development - Haiguang Information is positioned as a key player in the domestic x86 architecture chip market, with plans to expand its commercial channels and increase chip shipments, particularly in AI applications [9][10]. - Zhongke Shuguang is developing AI computing solutions that support various mainstream AI acceleration cards, emphasizing compatibility and customer-specific needs [10].