Surging AI demand is straining chip fabrication, memory (HBM) production, and components like MOSFETs, fueling price hikes and geopolitical bottlenecks. This affects the availability of GPUs and accelerators for both cloud and on-premise deployments.
AI demand and supply deals squeeze the memory market: HBM prices could double by 2027, hitting on-prem hardware costs. But the structural implications for AI deployment go beyond the price hike.
The spike in DRAM and NAND prices is forcing manufacturers to sharply cut low-end phone output and revise orders for components like power amplifiers. This goes beyond mobile, raising a red flag for on-premise AI infrastructure, where HBM and VRAM co...
Surging AI server demand is tightening MOSFET supply, while the PC downturn weakens component makers' pricing power. This squeeze threatens lead times and hardware costs for on-premise LLM deployments, directly impacting data sovereignty and total co...
Samsung posted an operating profit of 89.4 trillion won, 19 times the year-ago figure and the highest quarterly profit ever for a tech company. AI memory demand is the driver. AI-RADAR examines what this means for on-premise deployments: the race for...
