China's multilayer ceramic capacitor (MLCC) supply chain is accelerating capacity expansion as surging demand from AI servers and automotive electronics fuels one of the industry's strongest growth cycles, with domestic materials suppliers moving quickly to capture opportunities created by tightening global supply.
Nvidia is seeking Chinese telecom equipment partners to develop 6G AI radio access network base stations for overseas markets, according to Chinese media reports, as the chipmaker looks to extend its computing platform beyond data centres and into wireless networks and edge AI infrastructure. In a written response to DIGITIMES, however, Nvidia has categorically denied the report. "The report is unfounded, and the characterization of our activities in the region are false," an Nvidia spokesperson states.
Chinese optical transceiver suppliers are trying to calm investors after reports that the US Federal Communications Commission (FCC) may restrict new China-made data-center components, threatening a supply chain central to global AI infrastructure.
Chinese robotics company Unitree is entering a critical stage in its initial public offering. The IPO is expected to raise about CNY4.2 billion (approximately US$622 million), while the company's post-listing valuation could range from CNY40 billion to CNY50 billion. It would become the first company on China's A-share market whose primary investment theme is humanoid robotics.
Rashi Peripherals, a national distribution partner for global technology brands in India, has entered a joint venture with Japanese electronics and technology company Restar Corporation. The move pushes the distributor beyond product distribution into engineering, design, and field application support for India's manufacturing sector, according to ScanX, IT Voice India, and CRN Asia.
ByteDance founder Zhang Yiming recently said that the company would not use distillation to train its AI models, even if they fall behind those of other Chinese rivals. His comments come as China's advances in AI have accelerated faster than expected, leading to accusations that its developers are training them based on outputs from US models.
