Google's effort to expand its tensor processing units (TPU) beyond its own cloud is meeting resistance from some of the AI infrastructure companies best positioned to distribute alternative chips, with executives from Nebius, Lambda, and CoreWeave saying they do not plan to adopt TPUs anytime soon, according to The Information.
As power constraints and tighter policy controls in Singapore limit expansion, Malaysia is rapidly emerging as Southeast Asia's most important data center hub. A DIGITIMES research report finds that Chinese cloud service providers (CSPs), including ByteDance and Alibaba, are accelerating their shift southward, using Malaysia's unique supply chain pathways to deploy high-end AI computing power locally, including Nvidia's B200 systems.
Cerebras Systems is preparing to raise up to US$4 billion in an initial public offering, targeting a valuation of about US$40 billion, in what could become one of the largest AI chip listings to date.
The transition from 800G to 1.6T optical modules is no longer an upgrade cycle — it is a physics-driven inflection point.
Yageo chairman Pierre Chen said the rise of AI applications is driving stronger demand not only for advanced semiconductors and memory, but also for passive components, sensors, and power semiconductors.
India's technology ecosystem is seeing rapid expansion across AI infrastructure, semiconductors, and electronics manufacturing. From startup bets on AI inference to multi-billion-dollar data center plans and OSAT capacity buildouts, global and domestic players are deepening commitments. The momentum underscores India's rising role in supply chains and compute-driven industries.
