SK hynix Newsroom

SK hynix offers a full-stack portfolio of AI memory solutions optimized for AI systems across all major memory categories, including High Bandwidth Memory(HBM), DRAM, and NAND flash. To highlight the research that underpins these solutions as well as the company’s

Identifying promising technologies early and investing in them is one challenge. Turning those technologies into businesses is another. That requires assessing what problems a technology can solve, refining it with research and development teams, and evaluating its potential for deployment

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, and how efficiently it is processed now have

▪ Regarding Solidigm, no matters have been determined as of the date hereof. ▪ Whether utilizing external or internal capital, any approach must be evaluated not only by its structure, but also by its overall economic impact on existing shareholders.

AI is no longer defined by a single model or AI processor. For AI to operate effectively in real-world services and industrial applications, it takes faster compute, wider memory bandwidth, higher-performance networks, more efficient storage, and more stable power and