SK hynix says AI performance increasingly depends on the complete path that supplies data to accelerators, rather than GPU speed alone. The company cites research showing that server compute capability has advanced substantially faster than DRAM and interconnect bandwidth over the past two decades. As that imbalance grows, accelerators can spend more time waiting for data, reducing system efficiency. The analysis supports continued demand for higher-bandwidth memory and better integration among compute, networking, and storage, although it does not announce a product or a production target.
AI Infrastructure · Sep 2, 2026
SK hynix Highlights the Growing AI Memory-Bandwidth Gap
SK hynix argues that faster accelerators cannot deliver their full performance when memory and interconnect bandwidth lag behind compute. The widening gap strengthens the case for investment across HBM, DRAM, storage, and data-center connectivity.
Price impact: 2Direction: upSource: SK hynix Newsroom
SK hynixHBMDRAMAI acceleratorsinterconnects
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