HBM: The Memory That Controls 45% of GPU Economics
HBM at $2,900 represents nearly half of the B200's production cost. This explains why SK Hynix and Samsung – the HBM suppliers – capture significant value from the AI boom. Nvidia's margins depend heavily on memory pricing dynamics it doesn't control.
The B200 integrates 192 GB of HBM3E memory, priced at approximately $14-$17 per gigabyte. But HBM isn't ordinary memory.
The Memory Supercycle
The AI boom has triggered a structural transformation in memory markets:
The Triopoly
The HBM market is controlled by three players: SK Hynix (~50% share), Samsung (~40%), and Micron (~10%). All three have their 2025-2026 HBM production sold out.
Key Takeaway
As memory chokepoint analysis shows, SK Hynix and Samsung are becoming critical AI infrastructure providers, not just commodity suppliers.
Real-World Examples
NvidiaSamsung
Key Insight
As memory chokepoint analysis shows, SK Hynix and Samsung are becoming critical AI infrastructure providers, not just commodity suppliers. Their production decisions determine the pace of AI buildout.
Exec Package + Claude OS Master Skill | Business Engineer Founding Plan
FourWeekMBA x Business Engineer | Updated 2026
HBM at $2,900 represents nearly half of the B200’s production cost. This explains why SK Hynix and Samsung – the HBM suppliers – capture significant value from the AI boom. Nvidia’s margins depend heavily on memory pricing dynamics it doesn’t control.
Why HBM Costs So Much
The B200 integrates 192 GB of HBM3E memory, priced at approximately $14-$17 per gigabyte. But HBM isn’t ordinary memory. It requires through-silicon vias (TSVs) that enable unprecedented bandwidth – 8 TB/s for the B200, double the previous generation.
This architectural complexity means HBM consumes approximately three times the wafer capacity of standard DRAM to produce equivalent bits. It’s memory, but it’s extraordinarily demanding memory.
The Memory Supercycle
The AI boom has triggered a structural transformation in memory markets:
– DRAM contract prices surged 420% in 2024, from $3.75 in January to $19.50 in November
– SK Hynix announced all its chips are sold out through 2026
– Samsung and SK Hynix raised prices 30% for Q4 2025
– Inventory levels collapsed from 17 weeks in 2024 to 2 weeks in late 2025
The Triopoly
The HBM market is controlled by three players: SK Hynix (~50% share), Samsung (~40%), and Micron (~10%). All three have their 2025-2026 HBM production sold out.
New capacity takes years to build. Memory makers are cautious about overbuilding, fearing a future glut if AI demand cools. The shortage may persist 3-4 years.
Key Takeaway
As memory chokepoint analysis shows, SK Hynix and Samsung are becoming critical AI infrastructure providers, not just commodity suppliers. Their production decisions determine the pace of AI buildout.
What is HBM: The Memory That Controls 45% of GPU Economics?
HBM at $2,900 represents nearly half of the B200's production cost. This explains why SK Hynix and Samsung – the HBM suppliers – capture significant value from the AI boom. Nvidia's margins depend heavily on memory pricing dynamics it doesn't control.
What is Why HBM Costs So Much?
The B200 integrates 192 GB of HBM3E memory, priced at approximately $14-$17 per gigabyte. But HBM isn't ordinary memory. It requires through-silicon vias (TSVs) that enable unprecedented bandwidth – 8 TB/s for the B200, double the previous generation.
What are the key takeaway?
As memory chokepoint analysis shows, SK Hynix and Samsung are becoming critical AI infrastructure providers, not just commodity suppliers. Their production decisions determine the pace of AI buildout.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur, HackerNoon and Search Engine People. Find him on LinkedIn and Substack. See how we source.
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