Samsung Electronics has officially declared an all-out effort to increase the effective yield of its 1c DRAM for HBM4.
In semiconductor manufacturing, yield is everything. It's the percentage of good chips produced from a single wafer. Imagine improving the yield from 60% to 80%; this change would slash the production cost for each HBM4 stack by 25% and boost the total output from the same production line by over 33%. This is why the market is watching so closely—achieving the target of 80% yield by the second half of 2026 is directly linked to Samsung's cost competitiveness, supply capacity, and profit margins.
This yield battle is happening in a fiercely competitive arena. The AI revolution has created an insatiable demand for HBM, with giants like NVIDIA needing massive supplies for their next-generation accelerators. Samsung's strategy hinges on a high-performance combination: its latest 1c DRAM and its own 4nm process for the base die. This is a technologically advanced but challenging approach. In contrast, SK Hynix is leveraging its experience with more mature processes, playing the "stability and reliability" card. With NVIDIA still being the primary customer, securing its qualification is the most critical step to gaining market share.
So, what led to this critical moment? First, Samsung's own announcement in February 2026 that it had begun mass-producing HBM4 shifted the focus from development to large-scale manufacturing and the associated yield challenges. Second, external pressures have mounted. Competitor Micron announced its entry into HBM4 mass production at GTC 2026, while SK Group's chairman warned that a wafer shortage could last until 2030, highlighting the urgent need to maximize output from every single wafer.
Ultimately, Samsung's choice of cutting-edge technology means it's currently navigating a steep "learning curve" to stabilize its manufacturing process. The company's ability to hit its 80% yield target in the latter half of 2026 will be the definitive test of its strategy. Success would solidify its leadership in the AI memory era, while delays could allow competitors to capture a larger slice of this booming market.
- HBM (High Bandwidth Memory): A type of high-performance memory used in GPUs and AI accelerators, where multiple DRAM chips are stacked vertically to achieve faster data transfer speeds.
- Yield: In semiconductor manufacturing, the percentage of non-defective chips produced from a wafer. Higher yield means lower cost and higher production efficiency.
- Qualification: The process by which a component is tested and approved by a customer (like NVIDIA) for use in their products. Passing qualification is essential for securing large-volume orders.
