CXMT Reportedly Faces Major Yield Challenges in HBM3 Memory Production
Chinese memory manufacturer CXMT is reportedly running into significant production hurdles as it attempts to move deeper into the high-bandwidth memory market. According to reports from Korean industry sources, the company is struggling to achieve acceptable yields for its HBM3 memory chips, a critical component used in advanced AI servers, data centers, and high-performance computing systems.
HBM, or high-bandwidth memory, is far more complex to manufacture than standard DRAM. While CXMT has gained momentum in China’s memory sector by supplying conventional DRAM products, producing HBM requires a much more advanced packaging process. The challenge is not simply making the DRAM dies, but stacking them precisely and connecting them reliably so they function as one high-speed memory package.
The report claims CXMT’s 8-layer HBM3 chips currently have yields of only around 25% to 30%. Even after initial production, only about 70% of the chips that make it through further testing and qualification are considered suitable for final use. In practical terms, this means a large number of completed HBM chips are failing before they can be used in commercial products.
One of the biggest issues appears to involve through-silicon vias, commonly known as TSVs. These are tiny vertical electrical connections drilled through the silicon wafers, allowing the stacked DRAM layers to communicate with each other and with the base die. TSV technology is essential for HBM, but it is also one of the most difficult parts of the manufacturing process.
A standard HBM chip can contain thousands of TSV connections, and any defect in these tiny structures can reduce performance or cause the entire chip to fail quality testing. Industry insiders cited in the report suggest CXMT is having trouble adapting its existing DRAM manufacturing experience to the much more demanding HBM production flow.
Stacking and bonding are also said to be major obstacles. HBM chips are made by placing multiple DRAM layers on top of one another, with some designs using up to 16 layers. These layers must be aligned and bonded with extreme precision. Even slight imperfections can affect signal quality, thermal performance, or long-term reliability.
The difficulty is expected to increase further as the industry moves toward next-generation HBM4 memory. Leading memory makers are exploring hybrid bonding techniques for future HBM products, which could replace traditional micro-bump connections with more advanced bonding methods. This approach can improve performance and density, but it also demands exceptionally clean production environments, ultra-smooth surfaces, and tighter process control.
The timing is important because HBM has become one of the most sought-after technologies in the semiconductor industry. Demand has surged due to the rapid growth of artificial intelligence infrastructure, where GPUs and AI accelerators require massive memory bandwidth to train and run large-scale models. As a result, HBM supply has become a key bottleneck for AI data center expansion.
The global HBM market is currently dominated by established memory giants such as SK hynix, Samsung, and Micron. These companies have invested heavily in advanced packaging, TSV processes, and next-generation memory stacks. CXMT, meanwhile, has built its position largely by serving China’s domestic DRAM demand, especially as larger memory manufacturers prioritize high-margin HBM output.
If the reported yield figures are accurate, CXMT may still have a long road ahead before it can compete meaningfully in the HBM market. Low yields make production expensive and limit the number of usable chips, which is a major disadvantage in a market where reliability, volume, and performance are all critical.
Still, CXMT’s efforts highlight China’s broader push to strengthen its domestic semiconductor supply chain. HBM is becoming increasingly important not only for consumer technology and cloud computing, but also for national AI strategies and data center development. Successfully producing competitive HBM chips would be a major milestone for any emerging memory manufacturer.
For now, however, the report suggests that CXMT’s HBM ambitions are being slowed by the same technical barriers that make high-bandwidth memory one of the most difficult and valuable products in the chip industry. TSV implementation, layer stacking, and bonding precision remain key challenges, and overcoming them will be essential if CXMT hopes to become a serious player in advanced AI memory.
