SK Hynix rides the AI boom with a successful US listing

SK Hynix is confirming its place in the AI memory race. Memory (DRAM and NAND) underpins every AI data center: it stores models, intermediate results and caches. Demand for memory has grown alongside AI. SK Hynix, the second-largest memory maker after Samsung, is benefiting from the trend.

AI-processed from Bloomberg Tech; edited by Hamidun News
SK Hynix rides the AI boom with a successful US listing
Source: Bloomberg Tech. Collage: Hamidun News.
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Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceBloomberg Tech ↗
Editor-in-Chief
DRAMfast working memory for the active data set
HBM (High Bandwidth Memory)specialized memory on the GPU, very expensive
NAND flashpersistent storage for models

Amid the AI boom, memory makers are enjoying a revival. SK Hynix, one of the two memory giants (alongside Samsung), is confirming its role in AI infrastructure.

The role of memory in AI

When people talk about AI accelerators, they think of GPUs and TPUs. But they often forget that every GPU has a memory bus, and it becomes a bottleneck.

  • DRAM: fast working memory for the active data set
  • HBM (High Bandwidth Memory): specialized memory on the GPU, very expensive
  • NAND flash: persistent storage for models

LLMs with trillions of parameters need petabytes of memory. AI data centers are buying up memory like bread.

SK Hynix

As the second-largest memory maker (after Samsung), SK Hynix is receiving orders from Google, Meta and OpenAI. Memory prices have risen and volumes are growing. That gives the company an edge in negotiations and in margins.

What this means

The AI boom is not only about GPUs. The whole supply chain, from memory chips to data center cooling, benefits. SK Hynix shows that being the second supplier is fine if demand grows faster than competition.

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Key Questions Answered

What are the key details on The role of memory in AI?

When people talk about AI accelerators, they think of GPUs and TPUs. But they often forget that every GPU has a memory bus, and it becomes a bottleneck. DRAM: fast working memory for the active data set HBM (High Bandwidth Memory): specialized memory on the GPU, very expensive NAND flash: persistent storage for models LLMs with trillions of parameters need petabytes of memory. AI data centers are buying up memory like bread.

What are the key details on SK Hynix?

As the second-largest memory maker (after Samsung), SK Hynix is receiving orders from Google, Meta and OpenAI. Memory prices have risen and volumes are growing. That gives the company an edge in negotiations and in margins.

What this means?

The AI boom is not only about GPUs. The whole supply chain, from memory chips to data center cooling, benefits. SK Hynix shows that being the second supplier is fine if demand grows faster than competition.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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