
Aewin Technologies has introduced a four-product server lineup built around AMD's newly launched EPYC 9006 processor family, targeting AI, general-purpose computing and storage workloads. The launch comes as demand for server architectures continues to fragment across training, inference, enterprise IT and data storage use cases.
Nvidia CEO Jensen Huang once again voiced his support for open-weight and open-source AI, a form of model that has caught official attention in Washington after the release of the powerful Kimi K3 model from Chinese startup Moonshot AI. His comments added another voice to the ongoing debate over closed-source versus open-source approaches as the US considers restrictions on Chinese AI.
NXP Semiconductors' physical AI strategy extends beyond vehicles, factories and robots. The same control, connectivity and real-time processing capabilities are also giving the company a larger role in AI data center infrastructure, where it is targeting the systems that manage networking, cooling, security and power around increasingly complex accelerator platforms.
The US has barred new foreign-produced advanced robots and power inverters from receiving regulatory approval, extending its technology restrictions into two industries considered critical to artificial intelligence, energy infrastructure and industrial automation.
NXP Semiconductors' latest earnings call revealed more than another set of quarterly results. With the financial figures already widely reported, the more important takeaway was management's outlook on physical AI, software-defined vehicles and the company's expanding role in AI data-centre infrastructure.
Chinese AI startup Moonshot AI is planning its next frontier model, Kimi K4, and is seeking additional access to Nvidia's advanced Blackwell GPUs despite US export restrictions intended to keep such chips out of China, according to The Information. The report says K4 would be significantly larger than the recently launched Kimi K3, underscoring the growing computing demands of China's leading AI developers.
Corning expects AI infrastructure to become an increasingly powerful growth engine, outlining how its glass technologies will move beyond traditional optical fiber and into silicon photonics (SiPh) and co-packaged optics (CPO) for next-generation AI data centers.
China's two major AI computing ecosystems moved quickly to support Kimi K3 after Moonshot AI released the large language model as open source.

