SK Hynix flies high on AI boom: successful US listing
SK Hynix confirms participation in AI memory wave. Memory (DRAM and NAND) is the foundation of any AI data center: needed for storing models, intermediate results, caching. Demand for memory grew alongside AI. SK Hynix, the world's second-largest memory manufacturer after Samsung, benefits from this trend.
AI-processed from Bloomberg Tech; edited by Hamidun News
Against the backdrop of the AI boom, memory manufacturers are experiencing a revival. SK Hynix, one of two memory giants (along with Samsung), confirms its role in AI infrastructure.
The Role of Memory in AI
When talking about AI accelerators, people think about GPUs and TPUs. But often forgotten: every GPU has a memory bus, and it becomes a bottleneck.
- DRAM — fast RAM for the working set of data
- HBM (High Bandwidth Memory) — specialized GPU memory, very expensive
- NAND-flash — persistent storage for models
For LLMs with trillions of parameters, petabytes of memory are needed. AI datacenters buy memory like bread.
SK Hynix
As the second memory manufacturer (after Samsung), SK Hynix receives orders from Google, Meta, OpenAI. Memory prices have risen, volumes are growing. This gives the company an advantage in negotiations and margins.
What It Means
The AI boom is not just about GPUs. The entire supply chain — from memory chips to datacenter cooling — benefits. SK Hynix shows: being a second supplier is fine if demand grows faster than competition.
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