🐂 SKH — Multi-Source Profile¶
Based on public financial reports + SEC filings + public industry reports — not investment advice
Total mentions: 21 · Primary role: supplier · Author stance: 3🐂 / 0🐻
🏭 Industry Chain Position¶
⬇️ Downstream (Who depends on you)¶
| Customer | What flows | Frequency |
|---|---|---|
NVDA |
HBM memory | 5 |
NVDA |
HBM3E memory | 3 |
⚔️ Competitors¶
MU · SSNLF · SANDISK/KIOXIA · SAMSUNG DRAM
🧠 Applicable Mental Models¶
Parkinson's Law (1× in SKH articles)¶
Example invocations: - Applied to memory: 'memory-Parkinson' dynamic where model size expands to fill available HBM capacity.
S-curve (1× in SKH articles)¶
Definition: The S-curve describes the pattern of adoption or performance improvement over time, starting slow, accelerating, then plateauing as limits are reached.
When to apply: Use to analyze technology adoption cycles or when a new technology may surpass an incumbent.
Example invocations: - Applied to HBM layer counts and hybrid bonding adoption: bump-based stacking approaches limits, and hybrid bonding is a next-gen technology with slow adoption.
⚠️ Top Risks (from articles)¶
- competition (medium): SK Hynix's LPDDR6 shows worse power efficiency at lower pin speeds compared to Samsung, potentially losing market share in mobile.
- competition (medium): SK Hynix's 321L V9 NAND density is comparable to Micron's 276L G9 but with higher cost due to 3 decks, risking market share loss.
- geopolitical (high): Cannot ramp 1A DRAM at China fab due to EUV export license issues.
- demand (medium): Mobile unit demand may be weaker than expected; SK Hynix expects mid-single digit growth but author is more bearish.
- geopolitical (medium): Similar to Samsung; caught between US and China tensions.
Auto-generated. To regenerate: python3 edu_site/scripts/build_ticker_profiles.py.