China's push for AI self-sufficiency is lifting Hygon Information Technology from a server CPU supplier into a broader AI compute platform player. Its "CPU + DCU (Deep Computing Unit)" strategy is now taking shape, positioning the company to serve both general-purpose and AI workloads in a market racing to localise computing power.

As artificial intelligence moves from experimentation to full-scale production, companies are confronting the limits of GPU-only inference architectures. In response, Intel and SambaNova Systems on Monday unveiled a jointly engineered blueprint designed to address the next generation of AI workloads, while announcing a broader multi-year strategic collaboration.

GITEX Asia 2026 wrapped up in Singapore with a clear shift in industry priorities, as artificial intelligence (AI) spending moves from infrastructure buildout toward monetization, with inference and edge deployment emerging as the next battleground.

As AI agents grow capable of independently operating computers, drafting documents, and managing schedules, the relationship between humans and machines is undergoing a fundamental shift. A recent viral phenomenon involving so-called "lobster" agents (OpenClaw) has underscored a new question in the market: traditional PCs and smartphones may no longer be the ideal platforms for AI.