NVIDIA's AI servers are encountering a bottleneck in data growth. Previously, its high-performance servers could effectively handle temporary contextual data from 'key-value (KV) caching.' However, with the explosive growth in the scale of such data, the existing processing architecture is struggling to cope. To alleviate chip strain, the demand for Context Memory eXpansion (CMX) is becoming increasingly urgent, presenting a critical market opportunity for storage giant Samsung.
