Samsung Electronics is reportedly preparing to use Taiwan Semiconductor Manufacturing Company's (TSMC) advanced 3-nanometer process to produce a key component of Nvidia's next-generation custom high-bandwidth memory, a potentially significant shift in how competing chipmakers cooperate to supply AI hardware.
The development was reported on October 18, 2026, by South Korea's Seoul Economic Daily, citing industry sources, and subsequently covered by Reuters. According to the newspaper, Samsung accepted Nvidia's manufacturing requirements after an internal review.
The reported arrangement would bring Samsung and TSMC together at the memory manufacturing stage, even though the companies compete in semiconductor foundry services. However, the specific agreement has not been independently confirmed through a joint company announcement, and the reports do not establish that production has begun.
Why Nvidia's NVHBM Needs Advanced Base Dies
High-bandwidth memory (HBM) is a specialized form of memory that stacks multiple DRAM dies vertically, enabling extremely fast data transfer between memory and powerful processors. It is particularly important for AI accelerators, which must move enormous quantities of data while performing complex computations.
An HBM stack contains memory core dies and a logic base die. The core dies store data, while the base die provides supporting logic and connectivity that help the memory stack communicate with the processor.
Nvidia's custom architecture, called NVHBM, changes where a crucial part of this system operates.
In conventional HBM arrangements, the memory controller occupies space on the accelerator's compute die. Nvidia's design instead integrates its custom memory controller into the HBM base die, potentially freeing additional silicon area for computing resources.
When Nvidia introduced NVHBM on August 26, 2026, the company outlined three potential advantages compared with standard HBM4E:
- Up to 30% greater memory bandwidth, potentially improving data transfer for memory-intensive AI workloads.
- 15% lower HBM power consumption, potentially reducing power and cooling demands.
- Up to 25% more available area on the accelerator's compute die, allowing designers to allocate additional space to processing resources.
These figures are Nvidia's stated architectural benefits, not independently verified performance results from commercially deployed NVHBM systems. Actual improvements will depend on the final hardware design and workload.
Nvidia intends to make NVHBM available through multiple memory providers as part of its NVLink Fusion ecosystem, which supports the development of customized AI computing infrastructure.
Why Samsung Could Turn to Rival TSMC
The reported manufacturing decision reflects Nvidia's effort to standardize important elements of NVHBM production across different memory suppliers.
According to Seoul Economic Daily's original report, Nvidia asked Samsung, SK hynix and Micron Technology to manufacture NVHBM base dies using TSMC's 3nm process and to adopt sixth-generation 1c DRAM technology for the memory core dies.
Using a common manufacturing approach could make it easier to maintain consistent design characteristics across suppliers and reduce the engineering work required to validate different memory implementations.
That does not mean the three manufacturers would produce identical finished memory products. Their manufacturing expertise, integration processes, packaging and production capabilities would remain important.
Crucially, the reported arrangement concerns the logic base die, not the entire memory stack. Samsung would continue manufacturing its DRAM memory dies while relying on TSMC's foundry technology for the specified NVHBM logic component.
This distinction matters because Samsung operates both major memory manufacturing facilities and its own advanced semiconductor foundry business. The company has traditionally emphasized its ability to manufacture multiple components of HBM products internally.
The Korean newspaper reported that Samsung plans to preserve that integrated approach for standard HBM products and customized memory developed for other customers. The NVHBM arrangement therefore should not be interpreted as Samsung abandoning its foundry operations.
Nor does the selection of TSMC's 3nm process automatically establish that it outperforms every alternative. Semiconductor process-node names alone do not provide directly comparable measurements of performance, power efficiency, manufacturing yield or production cost.
What the Arrangement Could Mean for AI Chip Supply Chains
The reported cooperation illustrates how demand for increasingly specialized AI processors can create new manufacturing relationships among companies that otherwise compete.
As AI accelerators become more powerful, memory bandwidth, energy efficiency and communication between components increasingly influence overall system performance. Processor designers must therefore consider not only computing capacity but also how memory and other supporting technologies are manufactured and integrated.
For Nvidia, a standardized NVHBM implementation could help simplify qualification across participating suppliers and support customers designing specialized AI processors through NVLink Fusion.
For Samsung, the reported arrangement could provide access to a manufacturing process specified for Nvidia's custom architecture while allowing the company to retain its established DRAM production capabilities.
For TSMC, producing advanced logic components for memory stacks would represent another potential application of its leading-edge foundry technology beyond conventional processor manufacturing.
The development comes amid substantial investment in advanced semiconductor capacity. TSMC's October 15 earnings conference outlined plans to expand 3nm production through additional manufacturing facilities and capacity improvements.
The company's recent financial performance also underscores the importance of AI-related semiconductor demand. As previously covered by NewsFusion365's report on TSMC's record quarterly profit, advanced chip demand has become a major driver of the foundry's growth.
However, TSMC's broader expansion plans do not establish how much manufacturing capacity, if any, has been reserved specifically for NVHBM base dies.
What Remains Unconfirmed
Several important details remain unresolved despite the reported manufacturing decision.
Neither the reviewed reporting nor the companies' publicly available NVHBM announcements establish the commercial value of the proposed arrangement, the number of wafers involved, a confirmed production allocation or a specific mass-production schedule.
It also remains unclear when NVHBM products from the participating memory manufacturers will complete qualification or reach production-scale availability.
Seoul Economic Daily additionally reported that Samsung is examining whether its own foundry could manufacture NVHBM base dies if demand exceeds TSMC's available capacity. That possibility remains an attributed report rather than a confirmed production plan.
The next meaningful developments will be direct confirmation from the companies, evidence of successful manufacturing qualification, firm production schedules and clearer details about how NVHBM will be incorporated into upcoming AI computing systems.
Until those milestones are established, Samsung's reported use of TSMC technology is best understood as a potentially important manufacturing decision for Nvidia's future memory architecture—not evidence that the finished products are already being manufactured at commercial scale.
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