AI Drives Unprecedented MLCC Supply Cycle, Goldman Sachs Reports
En resumen
- AI's demand for data centers is creating the largest MLCC supply cycle in history.
- AI servers require significantly more MLCCs than standard setups, driving up demand.
Resumen generado por IA
Por qué importa
AI's increasing computational demands are driving a significant increase in the need for MLCCs, components crucial for managing power in electronic devices.
Here is what you need to know about what Goldman Sachs calls the “largest and longest” cycle in MLCC history.
How has AI triggered a MLCC supply bottleneck?
The massive build-out of power-hungry data centres to meet the computing needs of AI is the key driver of this cycle. Servers dedicated to AI training and inference require substantially more ultra-high-capacitance MLCCs to accommodate the sharp increase in power consumption. An AI server needs up to 28,000 MLCCs per unit, a 13-fold increase from a standard set-up, according to China Securities.
An EV with Level 2+ autonomous driving capabilities uses more than 10,000 MLCC units, according to Murata Manufacturing, the world’s largest MLCC maker. In comparison, around 800 to 1,000 MLCCs are needed in each smartphone.
Preguntas abiertas
- What is the projected duration of this MLCC cycle?
- What are the specific price implications for MLCCs?
