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 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, ...

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

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, ...

SK hynix announced Mar. 10 that it has successfully developed a 16Gb LPDDR6 DRAM based on the sixth-generation 10nm-class (1c) process technology.

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 ...

Not long ago, COMPUTEX was a gathering place for gaming PC enthusiasts. This year, for the first time, the head of a memory semiconductor company took the stage there. As someone with a background in ...

A packaging process, which is a back-end process for manufacturing semiconductors, proceeds in the order of back grinding, dicing, die bonding, wire bonding, and molding. The order of these processes ...

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 ...

Seoul, April 20, 2026 – SK hynix Inc. (or “the company”, www.skhynix.com) announced today that it has begun mass production of the 192GB SOCAMM2, a next-generation memory module standard based on the ...