As artificial intelligence (AI) progresses from a stage of model competition to one centered on application deployment, the demand for computing power has correspondingly shifted from the training phase to the inference phase. AI training-inference integrated machines are steadily gaining traction in the market, thanks to their ready-to-use nature, robust security and reliability, support for localized deployment, and their ability to encompass the entire lifecycle of large model training, inference, and AI application development. Data from the International Data Corporation (IDC) reveals that, since the start of this year, nearly a hundred domestic vendors have introduced training-inference integrated machine products, with numerous listed companies among them. Firms like ZTE and Digital China have witnessed robust sales of their training-inference integrated machine offerings, leading the industry to generally view the market outlook as highly promising.