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Dapuwei is pivoting its SSD strategy to address multi-dimensional requirements for AI data centers, specifically targeting storage density and deployment flexibility for training and inference workloads. The company's expansion into global markets and adoption of advanced cooling technologies are critical developments for the AI infrastructure supply chain. While the mention of share buybacks reflects standard financial management, the core technical focus remains on optimizing hardware for evolving AI system architectures.
Dapuwei: Actively Evaluating Share Buybacks and Other Measures to Safeguard Company Value and Investor Interests
36Kr reports that Dapuwei announced that as AI data center application scenarios and system architectures continue to evolve, enterprise SSD design is expanding from single performance or capacity metrics to multi-dimensional aspects including storage density, deployment flexibility, and system synergy. Addressing different scenarios such as AI training, inference, and large-scale data storage, the company continues to refine its product portfolio through various product combinations and technical paths, including high-capacity QLC, high-performance TLC, liquid cooling, and dual-mode solutions, to meet differentiated needs across these scenarios. In terms of market expansion, the company will continue to strengthen its overseas team building to expand its global market influence and achieve breakthroughs in both global markets and technology fields. Meanwhile, noting recent policy initiatives on buyback refinancing loans, the company plans to reasonably utilize policy tools based on its operational development needs and financial conditions, actively evaluating the use of share buybacks and other methods to protect company value and the interests of all investors.
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