At the 2026 OCP APAC Summit, debate over networking architectures in cloud AI data centers sharpened as industry players said the main bottleneck is no longer compute; beyond memory, networking has become a key constraint on how far AI infrastructure can scale.
Electronic paper, once a niche technology overlooked by the display industry, is gaining momentum as E Ink continues to expand its applications from early e-book readers into electronic shelf labels (ESL). Riding the global retail digitalization wave, the technology is now driving rapid market growth.
Chinese AI agent startup Manus is returning to independent operations, marking a concrete break from Meta months after Chinese regulators forced the US tech group to unwind its acquisition of the company.
SpaceXAI has launched Grok Bot, an AI agent designed to take on workplace tasks and operate digital tools with limited human intervention, marking the company's latest move to push Grok beyond a conventional chatbot.
Amazon is moving ahead with a dedicated gas-fired power plant for a new data center campus in Pecos County, Texas, as part of an effort to speed AI infrastructure deployment outside the state grid. The project, called GW Ranch, is designed to support behind-the-meter self-generation and avoid the interconnection delays that have slowed other power-heavy facilities.
IBM and Together AI have announced a collaboration to deploy a dedicated Nvidia-powered inference cluster on IBM Cloud, a move that could reshape how enterprises access open-source AI services worldwide. The planned system is designed to improve performance, lower token costs, and expand global access to scalable AI infrastructure as demand for real-time applications grows.
Lumentum Holdings said it is pulling forward capacity investments across lasers, transceivers, and optical circuit switches (OCS) after fiscal fourth-quarter revenue surged 109% year-over-year to US$1.01 billion, with the company now guiding to hit its long-stated US$1.25 billion quarterly revenue target more than a quarter ahead of schedule.
Global AI computing is rapidly moving beyond single-GPU systems toward AI Factory architectures, where agentic AI and inference workloads are pushing data centers to rely on networking, optics, packaging, cooling, power delivery and software co-design rather than raw accelerator counts. In a DIGITIMES interview, Nvidia Senior Vice President of Networking Gilad Shainer said the real unit of computing is now the entire data center, not an individual server.
