Samsung Is Prioritizing DRAM Yield Over Capacity in the HBM4 Race

Samsung is not responding to the AI-memory shortage with a simple race to add wafer starts. Instead, it is reportedly emphasizing the transition to sixth-generation 1c DRAM, yield improvement, and productivity—an approach designed to increase usable HBM4 output without expanding nominal capacity at the same pace.

That makes the company’s capacity plan look restrained on paper. It may also be a calculated attempt to turn existing fabs into more profitable, higher-density memory production before committing to a much larger expansion.

Samsung’s wafer growth slows sharply after 2026

Omdia-based projections reported by ChosunBiz put Samsung’s annual DRAM capacity at approximately 7.695 million wafers in 2025, 8.175 million in 2026, and 8.28 million in 2027. That represents roughly 6% growth in 2026, followed by only about 1.3% in 2027. 2

The figures describe wafer-based capacity, not the number of finished HBM packages or memory bits that Samsung can sell. A wafer-start comparison therefore does not capture the full effect of a node transition. The economic goal is to produce more usable bits—and more qualified premium products—from each good wafer.

Samsung is also not abandoning expansion altogether. Reporting has described line conversions and equipment installation aimed at increasing 1c DRAM capacity, while Samsung has separately been reported to target a significant increase in HBM production in 2026. 35

Why yield matters more than raw wafer starts

HBM4 production has several linked yield stages. DRAM dies must first be manufactured successfully, then processed through through-silicon-via steps, stacked and bonded, and finally tested as complete memory stacks. A problem at any stage can reduce the number of saleable products produced from the original wafer input. 22

That makes a high-volume, low-yield ramp expensive. Feeding more wafers into an unstable process can increase work in progress and scrap without delivering a comparable increase in finished HBM.

The underlying 1c DRAM transition adds another complication. Samsung is moving production toward a newer node intended for HBM4, but reports have distinguished between the yield of the 1c DRAM itself and the effective yield of completed HBM4. A mature DRAM-die yield does not automatically mean that the full multi-layer HBM product is ready for profitable mass production. 28

Samsung’s reported HBM4 yield progress illustrates why process stability is central to the strategy. Industry reporting said yield was below 60% when mass production began in February 2026 and had approached 80% by August. 1721 Those figures are reported industry estimates, not a complete company-disclosed production accounting, but they indicate why improving yield can be more valuable than immediately adding nominal wafer capacity.

Samsung still has more capacity—but SK hynix is closing the gap

The same Omdia-based projections put SK hynix’s annual DRAM capacity at 6.06 million wafers in 2025, 6.66 million in 2026, and 7.29 million in 2027. 2

Using those figures, Samsung’s capacity advantage is approximately:

• 1.635 million wafers in 2025
• 1.515 million wafers in 2026
• 990,000 wafers in 2027

So the lead narrows gradually across the period; it does not fall directly from 1.64 million wafers to 990,000 in 2026. Samsung remains larger on this wafer-capacity measure, while SK hynix is expanding at a faster projected rate.

The competitive issue is not just capacity. HBM supply depends on qualification, packaging execution, and consistent customer deliveries as well as wafer input. Reports have described SK hynix as the leading HBM supplier for major AI customers, while Samsung has been working to improve its position in the HBM4 market. 1324

That gives SK hynix an advantage if AI customers prioritize immediately available, qualified supply. Samsung’s counterargument is that better 1c and HBM4 yields could allow it to produce more sellable memory from a comparatively stable footprint.

The potential benefits of Samsung’s approach

More output from existing fabs

If Samsung improves the number of good 1c dies per wafer and raises the yield of the completed HBM4 stack, effective output can grow faster than wafer starts. This could improve cost per bit and allow the company to make better use of capacity that is already installed.

Less exposure to a future commodity downturn

Controlled expansion can also reduce the risk of adding too much conventional DRAM capacity at the peak of a memory cycle. By converting lines selectively toward higher-density and higher-value products, Samsung can preserve flexibility if demand or pricing changes.

A path back into premium AI memory

HBM4 is strategically important because it sits close to the center of AI-accelerator supply chains. Samsung’s reported improvement from sub-60% early HBM4 yield to roughly 80% later in 2026 suggests that process learning could strengthen its ability to compete for premium HBM business. 17

The result would be more than a capacity increase: it would be a shift from nominal wafer leadership to reliable, qualified HBM output.

The risks of waiting for process improvement

The strategy has a narrow margin for error. If 1c yields, HBM assembly, or customer qualification improve more slowly than expected, Samsung could lose time while SK hynix continues to add capacity. The company could also face a difficult trade-off between supplying conventional DRAM and allocating resources to HBM and server memory.

Line conversions create a short-term supply cost as equipment and production areas are adapted to a new process. That can make available output tighter even when the long-term objective is higher bit density and better productivity.

There is also a market-timing risk. AI demand may remain strong while Samsung is still stabilizing its processes. In that scenario, SK hynix could use faster capacity growth and established HBM execution to win contracts that are difficult to recover later.

Why the memory shortage is spreading beyond HBM

The AI boom is affecting conventional DRAM because memory suppliers are reallocating wafer capacity, equipment, packaging resources, and engineering effort toward HBM and server products. Industry reporting has linked that reallocation to sharply higher conventional-DRAM pricing. 37

TrendForce projected conventional DRAM contract prices to rise 58–63% quarter over quarter in the second quarter of 2026, following a projected 90–95% increase in the first quarter. 46 Those are market forecasts rather than guaranteed outcomes, but they show how a shortage centered on AI infrastructure can reach PCs, servers, and other systems that do not use HBM directly.

The constraint is therefore not solved simply by announcing more wafer capacity. New lines must be equipped, converted, qualified, and operated at acceptable yields. Until that happens, shifting production toward AI memory can leave less supply for conventional products.

What it means for AI hardware buyers

Memory has become a system-level cost and availability issue for AI infrastructure. Tom’s Hardware, citing Bloomberg reporting and analyst projections, said Nvidia had warned some major customers that Grace Blackwell and Vera Rubin systems shipping in early 2027 could cost more than 15% more, with rising memory costs among the main drivers. 32

Higher memory costs can increase cloud-provider capital requirements and make AI-system deployment more expensive for smaller buyers. The precise effect on end-user pricing will vary by system configuration and supplier contracts, but the direction is clear: memory availability is increasingly part of the economics of AI compute, not merely a component-level concern.

The strategic verdict

Samsung’s restrained DRAM-capacity growth is best understood as a yield-and-mix strategy rather than evidence that demand has weakened. The company is betting that denser 1c DRAM and improved HBM4 yields will generate more valuable, saleable output from each wafer.

That bet is economically defensible, especially if HBM4 yield continues to improve. But it is also high risk. Samsung still needs to convert process gains into consistent, qualified shipments while SK hynix expands faster and the wider market remains short of memory.

The key metric to watch is therefore not Samsung’s wafer count alone. It is the combination of good dies per wafer, completed HBM4 stack yield, qualified customer volume, and delivered bits. If those improve faster than nominal capacity, Samsung’s apparent restraint could become a competitive advantage. If they do not, the company’s remaining wafer lead may matter less than SK hynix’s faster ramp.