The AI Supercycle Needs More Than Just Chips. This Growth Stock Builds the Memory Behind Them.

The proliferation of artificial intelligence (AI) has created massive chip demand, which isn't surprising as semiconductors are the basic building blocks in data centers that train large language models (LLMs), and run agentic AI and inference applications.

It is worth noting that AI data centers employ various kinds of chips. From central processing units (CPUs) to custom AI processors to graphics processing units (GPUs), the AI supercycle has triggered impressive growth for companies designing these chips. However, the common factor among CPUs, GPUs, and custom AI chips is their memory.

All AI accelerators need to be equipped with faster, larger memory to enable fast data transfer and store a large number of parameters so that AI training and inference tasks can be executed quickly. This explains why SK Hynix (NASDAQ: SKHY) is one of the most important companies in the AI semiconductor ecosystem.

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