As AI workloads evolve toward inference and agentic AI, the criteria for system performance are also changing. Computing power alone is no longer enough. Where data is stored, how quickly it moves, ...

[AI Infrastructure Insight] Why faster GPUs alone can’t deliver AI performance ...

AI is no longer defined by a single model or chip. For AI to operate effectively in real-world services and industrial applications, it takes faster compute, greater memory bandwidth, ...

SK hynix has been broadening its collaboration with its strategic partner Dell Technologies (Dell). Following Dell Technologies World 2026, held in May in Las Vegas, US, SK hynix participated in the ...

The internal structure of the Scalable Data Server and the SK hynix products positioned in each area ...

AI doesn’t wait. The foundations of every industry are already cracking. This isn’t a story about one sector. Manufacturing. Finance. Healthcare. Data centers. The entire industrial order is being ...

SK hynix has collaborated with leading global researchers to publish a roadmap for co-packaged optics (CPO), a key technology for next-generation AI infrastructure, in the prestigious scientific ...

SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems ...

Conceptual illustration of an optics-centric architecture in which a photonic interposer directly connects compute resources in the XPU pool with memory resources in the memory pool through optical ...

[AI Infrastructure Insight] What is changing inside AI data centers?