4 articles
AI inference growth is shifting the hardware bottleneck from training throughput toward memory bandwidth, capacity, networking, and power efficiency.
SK Hynix’s warning that memory shortages could run beyond 2030 shows AI demand is now squeezing the components beneath the chips everyone already watches.
OpenAI's June 2026 Dreaming update makes ChatGPT memory more automatic, current, and scalable across longer user timelines.
XCENA raised $135 million as investors focus on memory bandwidth, not only compute, as the next constraint for AI inference.