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
SK Hynix flies high on AI boom: 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
Key metric #1DRAM — fast RAM for the working set of data
Key metric #2HBM (High Bandwidth Memory) — specialized GPU memory, very expensive
Key metric #3NAND-flash — persistent storage for models

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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Key Questions Answered

What are the key details on 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.

What are the key details on 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.

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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