📊 Full opportunity report: HBM Ate the Fab on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
HBM has rapidly become the dominant memory technology, accounting for a large share of the memory market and causing shortages of RAM and graphics cards. Its manufacturing complexity and high demand have led to rising prices and limited supply.
High Bandwidth Memory (HBM) has become the dominant memory component in AI and high-performance computing, leading to a global shortage that impacts RAM and graphics cards. This shift is driven by HBM’s superior bandwidth but also its complex manufacturing process, which has constrained supply and increased prices.
Over the past three years, HBM has evolved from a niche technology to the primary memory component in AI accelerators and high-end GPUs, such as Nvidia’s H100 and H200 series, AMD’s MI300 series, and others. Its design involves stacking multiple DRAM dies with through-silicon vias (TSVs), enabling bandwidth five to ten times higher than traditional GDDR memory. This performance boost is critical for AI training and inference, where data throughput is a bottleneck.
However, the manufacturing process for HBM is highly inefficient and costly. Each stack consumes three to four times the wafer area of DDR5 memory, and yields are lower due to the complexity of stacking multiple dies with TSVs. As a result, every wafer dedicated to HBM reduces the supply of standard memory products. In 2026, HBM3E prices increased by about 20%, and demand outstripped supply despite high costs, leading to shortages across the industry.
Leading suppliers include SK Hynix, Samsung, and Micron. SK Hynix currently holds 50–62% of the HBM market, with Nvidia sourcing approximately 90% of its HBM from SK Hynix. Samsung and Micron are ramping up production for the latest generations, with all three suppliers qualified for Nvidia’s upcoming Rubin platform, which will feature extensive HBM use. The market for HBM was roughly $35 billion in 2025 and is projected to reach $100 billion by 2028, representing a significant shift in the memory industry.
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.
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 GPUThis 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.
Why HBM’s Market Dominance Matters for Global Memory Supply
The rise of HBM as the primary memory technology has led to a massive reallocation of wafer capacity, prioritizing high-margin, high-performance components over standard RAM. This shift has caused shortages and price increases for mainstream memory products, including RAM modules and gaming GPUs. The growing demand for HBM in AI and data centers means that supply constraints are likely to persist, affecting consumers and industries reliant on affordable memory.
Moreover, the concentrated supply chain—dominated by a few manufacturers—raises concerns about market resilience and pricing power. The industry’s focus on HBM’s performance benefits has inadvertently created a bottleneck that impacts broader electronics markets, including personal computing and gaming sectors.
High Bandwidth Memory (HBM) GPU
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Background of HBM’s Rise and Market Concentration
Initially a niche product, HBM gained prominence due to its superior bandwidth, critical for AI and high-performance computing. SK Hynix led the development, achieving volume production of HBM3E in 2024 and securing most Nvidia orders. Samsung and Micron entered the market later, with Samsung overcoming yield issues to qualify for Nvidia’s Rubin platform in 2026. The technology’s manufacturing complexity and high costs have driven a market where demand far exceeds supply, with all three suppliers fully booked through 2026.
This growth coincided with a broader industry shift toward AI accelerators and data center hardware, which rely heavily on HBM. As a result, the entire memory supply chain has become increasingly focused on this high-margin product, squeezing out traditional RAM and GPU memory components.
“We have achieved qualification for HBM4 and are ramping up production to meet the rising demand from AI and high-performance computing sectors.”
— Samsung spokesperson
HBM RAM modules
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Unresolved Questions About Future HBM Supply and Market Impact
It remains unclear how quickly HBM supply will expand to meet growing demand, and whether new manufacturing innovations will reduce costs and improve yields. The potential for market consolidation or new entrants remains uncertain, as does the long-term impact on prices for mainstream memory products.high performance graphics card with HBM
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Next Steps in HBM Production and Industry Adaptation
Manufacturers are expected to continue ramping up HBM production through 2026, with new generations like HBM4E planned for 2027–2028. Industry analysts anticipate that supply constraints may persist into 2027, potentially prompting further price increases and accelerated development of alternative memory solutions. Monitoring how suppliers address manufacturing inefficiencies and whether new entrants emerge will be key to understanding the market’s evolution.
AI accelerator memory modules
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
Why is HBM causing a shortage of regular RAM?
Because manufacturing HBM consumes significantly more wafer capacity and yields are lower, it diverts resources from producing standard RAM, leading to shortages and higher prices for both RAM modules and GPUs.
Will HBM supply catch up to demand soon?
It is uncertain. While manufacturers are expanding capacity, the complexity of HBM production means shortages may persist into 2027, especially as demand for AI and high-performance computing continues to grow.
How does HBM’s rise affect the gaming and consumer markets?
As HBM takes up more wafer capacity and drives up costs, prices for GPUs and memory modules increase, leading to higher prices and limited availability for gamers and consumers.
Could new manufacturing techniques reduce HBM costs?
Potentially, but as of now, no breakthrough has been announced. The industry continues to rely on incremental improvements, which may still take years to significantly impact supply and cost issues.
Source: ThorstenMeyerAI.com
