Nvidia Mandates TSMC 3nm Process for Next-Generation HBM Base Dies

Nvidia has directed the world's three leading memory manufacturers—Samsung, SK Hynix, and Micron—to standardize the base dies for its next-generation custom high-bandwidth memory on Taiwan Semiconductor Manufacturing Co.'s 3-nanometer process. The mandate forces an unprecedented manufacturing alliance in the semiconductor industry.[1][2][3]

The directive, first reported by the Seoul Economic Daily on October 18, 2026, requires Samsung Electronics to collaborate with TSMC at the manufacturing stage for the first time. Samsung has traditionally relied on a turnkey model, fabricating both components entirely within its own foundries.[1][2][4]

None of the companies involved have issued public statements or provided direct executive quotations regarding the manufacturing agreement. However, Samsung reportedly agreed to the terms following an internal review, prioritizing the massive demand for Nvidia's AI accelerators over its own foundry independence.[1][3]

The shift is driven by the architecture of Nvidia's custom memory, dubbed NVHBM. Based on the seventh-generation HBM4E standard, the design fundamentally changes the chip's layout by relocating part of the memory controller directly onto the high-bandwidth memory base die.[2][3]

Moving Logic Off the GPU

Moving the controller frees up valuable graphics processing unit real estate for computational circuits, but it transforms the base die from a simple signal router into a highly complex logic chip. To fit the relocated functions, the physical layer was shrunk by 60 percent.[3]

According to Nvidia, the redesign delivers substantial performance gains for enterprise AI infrastructure. The custom NVHBM offers up to 30 percent more memory bandwidth and reduces power consumption by 15 percent compared to standard HBM4E, while freeing up 25 percent more compute die area.[2][3]

Packing those logic functions onto the base die requires an ultra-fine 3-nanometer process, which dictated the shift to TSMC. Industry estimates place TSMC's 3-nanometer production yields above 90 percent, giving it a significant reliability advantage over competitors attempting similar logic densities.[2][3]

By contrast, Samsung Foundry's comparable 2-nanometer process currently achieves yields of roughly 60 percent. By forcing SK Hynix, Micron, and Samsung onto a single TSMC node for the base die, Nvidia ensures consistent performance across all its memory suppliers and eliminates the need to validate three different logic implementations.[2][3]

Samsung's Dual-Track Strategy

The memory core dies will still be manufactured by the individual suppliers using their respective sixth-generation DRAM processes. Samsung is not entirely abandoning its foundry ambitions, adopting a dual-track strategy to maintain its internal manufacturing capabilities while meeting Nvidia's strict requirements.[2][3]

The South Korean giant will continue to manufacture base dies in-house for its standard HBM4 and HBM4E lineups. It also plans to retain its turnkey approach for custom memory products ordered by other clients, such as AMD, utilizing its own 4-nanometer process lines.[3]

High-bandwidth memory remains crucial to Samsung's financial strategy as it works to offset manufacturing deficits in other divisions. Industry estimates project that Samsung's foundry losses will shrink by 41 percent this year, falling from $5.1 billion in 2025 to $2.95 billion in 2026.[2]

Looming Capacity Constraints

The industry's reliance on TSMC introduces significant supply chain risks, as the Taiwanese foundry's advanced nodes are already heavily booked. During its October 15 earnings call, TSMC reported that its 3-nanometer node accounted for 33 percent of its third-quarter wafer revenue.[3]

Global demand for high-bandwidth memory is accelerating faster than foundries can build new fabrication plants. Investment bank UBS projects that memory demand will surge 91 percent next year to 61.5 billion gigabits, against new shipments of just 54.6 billion gigabits—creating a structural 10 percent supply shortfall.[3]

To hedge against TSMC production bottlenecks, Samsung is reportedly testing whether its own foundry can manufacture the NVHBM base dies as a backup. If TSMC cannot allocate enough capacity to meet the combined orders from all three memory makers, Samsung's internal 2-nanometer lines remain a critical contingency plan.[2][3]

The Broader Foundry Impact

The consolidation of base die manufacturing at TSMC further cements the Taiwanese company's dominance in the artificial intelligence hardware supply chain. By securing the logic layer business from all three leading memory suppliers, TSMC expands its revenue base beyond direct GPU fabrication.[1][3]

The move also highlights the evolving nature of high-bandwidth memory, which is transitioning from a pure storage commodity into a customized logic component. As AI models grow larger, the bottleneck has shifted from compute speed to data transfer rates, making the base die a critical battleground.[2][3]

For Nvidia, the mandate demonstrates its unparalleled leverage in the current hardware market. With an estimated 60 percent share of the AI accelerator market, the company possesses the purchasing power to force fierce rivals into cooperative manufacturing arrangements that would have been unthinkable a year ago.[3][4]

The success of the NVHBM rollout will depend heavily on TSMC's ability to scale its 3-nanometer output. The foundry is currently constructing new facilities, including a second fab in Kumamoto, Japan, and expanding its Arizona footprint, but those sites will not reach mass production until 2027 or 2028.[3]

Until those new fabrication plants come online, the semiconductor industry must navigate a precarious balancing act. Nvidia's push for standardization promises unprecedented memory speeds, but it ties the entire AI hardware ecosystem to the output of a single Taiwanese manufacturer.[2][3]