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 ...
The internal structure of the Scalable Data Server and the SK hynix products positioned in each area ...
SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it recorded 16.4233 trillion won in revenues, 5.4685 trillion won in operating profit (with an operating margin of 33%), and 4.12 ...
SK hynix’s technology roadmap for co-packaged optics features in ‘Nature Electronics,’ as AI competition shifts from chips to systems ...
The Next-Generation Memory Architecture in the AI Era? SK hynix Charts the Direction at ‘FMS 2026’ ...
The SK hynix Global Newsroom delivers a wide range of corporate updates and evolving semiconductor market trends. It serves as a key communication channel connecting with our global stakeholders, ...
In Yongin, South Korea, the towering frame of a semiconductor fab has emerged, reaching the height of a 50-story apartment building to form the massive Yongin Semiconductor Cluster. With construction ...
To proactively address the rapidly growing global demand for AI memory, SK hynix has established a mid-to-long-term investment strategy totaling KRW 1,100 trillion, encompassing Yongin, Cheongju, and ...
The focus of AI infrastructure competition is shifting. Larger models and faster compute engines remain important, but for AI systems to scale reliably across real-world services and industrial ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results