AI demand boosts DRAM/NAND logic. Contract market sees high visibility via agreements, though downstream demand weakens. FMS showcases standard transitions where high-density flash addresses memory-wa...
During the first half of 2026, surging demand for KV Cache coupled with constrained memory supply resulted in severe memory bottlenecks. To resolve the KV Cache bottlenecks, industry players are seeki...
In AI inference, MoE architectures and long-context processing have sharply increased memory-capacity requirements for model weights and KV cache, shifting the bottleneck from insufficient compute to...
TurboQuant breaks language model memory bottlenecks via lossless dimensional compression, drastically boosting efficiency. Plummeting costs spark massive long-sequence application demand, comprehensiv...
AI compute faces memory bottlenecks. HBM's capacity/cost are limits. NAND Flash, via HBF (high-capacity near-memory) and AI SSD (intelligent preprocessing), optimizes AI architecture, redefining...
