📊 Full opportunity report: HBM Ate the Fab on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

TL;DR

HBM has rapidly grown into the dominant memory technology, accounting for a significant share of the market and causing shortages in RAM and GPUs. This shift is driven by its high performance but severe manufacturing challenges.

High Bandwidth Memory (HBM) has become the primary cause of the ongoing global memory shortage, as manufacturers prioritize HBM production over standard DDR5 RAM, impacting supply chains for RAM modules and GPUs.

According to industry sources, HBM now accounts for roughly 41% of all DRAM revenue in 2026, up from just 8% in 2023, and is projected to reach about $100 billion in market size by 2028. Major suppliers such as SK Hynix, Samsung, and Micron have all ramped production to meet surging demand driven by AI accelerators and high-performance GPUs.

Manufacturing HBM is highly complex and inefficient, requiring stacking multiple DRAM dies with through-silicon vias (TSVs), which results in low yields and high costs. Each HBM stack consumes three to four times the wafer area of standard DDR5 memory, leading manufacturers to allocate a significant portion of wafer capacity to HBM, reducing supply of traditional RAM.

In 2026, SK Hynix secured a dominant position with over 50% of the HBM market, supplying around 90% of Nvidia’s HBM needs. Nvidia’s latest GPU platforms, including the Rubin series, are built around multiple HBM stacks, further increasing demand and supply constraints. All three major suppliers—SK Hynix, Samsung, and Micron—are now producing HBM4, with capacities sold out through 2026.

At a glance
breakingWhen: ongoing, with key milestones in 2026
The developmentThe development confirms that HBM’s increasing demand and manufacturing difficulties are directly causing the global memory shortage affecting RAM and graphics cards.
HBM Ate the Fab — The Memory Squeeze, Part 2
AI Dispatch · Reality Check · The Memory Squeeze · Part 2 of 10

HBM ate the fab

The thing the factories make instead of your RAM is a tower of stacked memory bolted to every AI chip. In three years it went from niche part to the component that sets the price of nearly all the world’s memory — and now a chunk of its GPUs.

What it is — and why it’s so wafer-hungry
BASE LOGIC DIE
8–16 DRAM dies · TSVs · 1 stack

A tower, not a sheet

HBM stacks DRAM dies vertically, links them with thousands of through-silicon vias, and sits beside the GPU to deliver 5–10× the bandwidth of normal graphics memory. AI is bandwidth-bound — without it, the world’s most expensive silicon sits starved for data. But stacking is inefficient: one HBM bit eats 3–4× the wafer area of DDR5, and one defect can ruin a whole tower.

≈ 8 HBM stacks wrap every AI GPU
The annual arms race — faster, denser, dearer
HBM3
~819 GB/s
per stack · the H100 era
~$200 / stack
HBM3E
~1.18 TB/s
2026 workhorse · H200, B200
~$300 / stack  (+20% for ’26)
HBM4
~2.8 TB/s
new logic base die · Nvidia “Rubin”
~$500 / stack (est.)
The three-horse race for the most coveted chip
SK Hynix
~50–62%
the leader; ~90% of its HBM goes to Nvidia
Samsung
~28–40%
2026 comeback; qualified for Rubin HBM4
Micron
~5–10%
sold out for 2026; HBM4 for inference chips
June 2026: all three qualified for HBM4 — the question shifts from “can you ship?” to “who ships best?”
−30–40%
It didn’t just eat your RAM — it ate your GPU too. With suppliers prioritizing HBM, the GDDR7 memory consumer cards need went short; Nvidia reportedly cut RTX 50-series production by a third or more in H1 2026.
The take

This isn’t artificial scarcity — AI really is bandwidth-bound, HBM really is the fix, and it really does eat 3–4× its weight in fab capacity. The discomfort is structural: one component, coupled to one customer’s demand, now sets the price of nearly all memory and a slice of GPUs. The market is now $35B → ~$100B by 2028, ~41% of all DRAM revenue (was 8% in 2023), and sold out through 2026. The one hope: with all three suppliers finally racing on HBM4, competition can add supply. The matching risk: if AI demand corrects, HBM is where it breaks first. Next: DDR5 now, DDR6 soon.

Sources: Silicon Analysts; Introl; TrendForce; DigiTimes; Unibetter; Astute Group; Reuters. Per-stack pricing is estimated/point-in-time; bandwidth per JEDEC/vendor specs. As of late June 2026, fast-moving.
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Impact of HBM’s Market Dominance on Global Memory Supply

The shift toward HBM has reoriented the entire memory industry, making it the central revenue driver and causing shortages in standard RAM and graphics cards. As HBM’s production remains constrained by manufacturing complexity and high costs, the availability of DDR5 RAM and consumer GPUs has been severely limited, affecting gamers, PC builders, and data centers alike.

This development indicates that the memory shortage is not merely a supply chain issue but a structural shift driven by technological priorities and economic incentives. The increasing reliance on HBM for AI and high-performance computing will likely sustain tight supply conditions for years to come.

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How HBM Became the Memory Industry’s Main Driver

Historically, memory supply was driven by standard DDR5 and similar modules, with growth in the teens percentage annually. However, the rise of AI and high-performance computing shifted focus toward HBM, which offers five to ten times the bandwidth of traditional memory. Manufacturing challenges, including low yields and high costs, initially limited HBM production but have accelerated as demand surged from companies like Nvidia, AMD, and others.

By 2026, SK Hynix, Samsung, and Micron had all qualified and ramped production of HBM4, with Nvidia’s Rubin platform leading the adoption. The market’s rapid growth—projected at 40% annually—has made HBM the dominant and most profitable segment of the memory industry, overshadowing traditional RAM production.

“Our latest GPUs are designed around HBM4, which offers unprecedented bandwidth but also contributes to supply tightness.”

— Nvidia spokesperson

Extent and Duration of the Memory Shortage

While demand for HBM continues to grow, it is still unclear how long supply constraints will persist, especially as new manufacturing techniques and yield improvements are developed. The precise timeline for alleviating the shortage remains uncertain, and the impact on consumer RAM and GPUs could extend into 2027 and beyond.

Expected Developments in HBM Production and Market Availability

Manufacturers are expected to continue ramping HBM4 and HBM4E production, with capacity increases planned for 2027–2028. However, given the complexity of manufacturing and high costs, supply constraints are likely to persist until yield improvements and new fabrication techniques are achieved. Consumers and industry stakeholders should anticipate ongoing shortages and price increases for RAM modules and high-end GPUs in the near future.

Key Questions

Why is HBM causing shortages in regular RAM?

Because HBM consumes significantly more wafer area and has lower yields, manufacturers divert wafer capacity from standard RAM to HBM, reducing overall RAM supply.

How does HBM differ from DDR5 memory?

HBM stacks multiple DRAM dies vertically with high bandwidth connections, making it much faster but also more complex and expensive to produce than flat DDR5 modules.

Will the RAM shortage improve soon?

Supply constraints are expected to continue until yield improvements and new manufacturing processes for HBM are developed, likely extending into 2027 or later.

Who are the main suppliers of HBM?

SK Hynix, Samsung, and Micron are the primary producers, with SK Hynix currently leading the market and Samsung and Micron ramping up capacity.

What impact does this have on GPU availability?

The high demand for HBM in GPUs, especially high-end models like Nvidia’s Rubin series, has contributed to limited GPU supply and rising prices.

Source: ThorstenMeyerAI.com

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