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Samsung is reportedly positioned to supply approximately half of Nvidia’s SOCAMM2 requirement in 2026, an allocation estimated at about 10 billion gigabits. The figure comes from a KB Securities estimate reported by Korea JoongAng Daily, not from a publicly disclosed Samsung–Nvidia contract. Samsung has separately confirmed that it is mass-producing and shipping SOCAMM2 for Nvidia’s Vera Rubin platform.
What the reported “half” means
The estimate concerns Nvidia’s SOCAMM2 demand, not half of the global SOCAMM2 market or half of all memory installed in a Vera Rubin system. Korea JoongAng Daily attributes an estimate of roughly 10 billion gigabits to KB Securities analyst Kim Dong-won, representing about 50% of Nvidia’s expected SOCAMM2 requirement.
A separate SamMobile report, citing Hankyung Insight, describes Samsung’s expected share as more than half and gives different capacity units. It estimates Nvidia’s 2026 requirement at up to 20 billion gigabytes, with Samsung supplying about 10 billion gigabytes. Those figures are industry estimates rather than audited shipment data, so the units should not be treated as interchangeable without a stated conversion.
Most importantly, Samsung has not publicly confirmed an exact 50% allocation, contract value, price, duration or guaranteed shipment volume. Its public statements establish production and customer-platform supply, while the precise split remains reported rather than officially disclosed.
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Korea JoongAng Daily’s report on the KB Securities estimate and SamMobile’s summary of the allocation reports provide the published estimates.
What SOCAMM2 is
SOCAMM2 is a detachable memory module built with LPDDR5X DRAM. The name is commonly expanded as Small Outline Compression Attached Memory Module 2. It adapts low-power memory traditionally associated with mobile devices for AI-server and accelerator systems.
Samsung describes SOCAMM2 as a modular alternative to conventional DDR-based registered DIMMs (RDIMMs). Its compression connector is intended to support signal integrity while allowing the module to be replaced, unlike memory soldered directly to a board. The compact, horizontal form factor can also give system designers more flexibility for heatsinks and airflow.
Samsung’s technical explanation is available in its SOCAMM2 overview.
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High-bandwidth memory (HBM) and SOCAMM2 serve different layers of an AI system:
| Memory type | Primary role | Typical system relationship |
|---|---|---|
| HBM | Very high-bandwidth memory for AI accelerators | Placed closely with GPUs or other accelerators |
| SOCAMM2 | Lower-power, modular system memory based on LPDDR5X | Associated with the Vera CPU and broader AI-server platform |
| RDIMM | Established DDR server memory | Conventional, replaceable server-memory architecture |
Some secondary coverage calls SOCAMM2 “second-grade HBM,” but that is a market nickname, not a technically accurate classification. SOCAMM2 complements HBM by supplying system memory; it does not replace accelerator-attached HBM.
Why Nvidia is adopting it for Vera Rubin
Nvidia is positioning SOCAMM2 alongside its Vera CPU in Vera Rubin rack-scale AI systems. The objective is to place substantial system memory close to the processor while reducing power use and preserving a serviceable module design.
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Samsung’s first-quarter 2026 earnings materials say mass-produced SOCAMM2 sales for Nvidia’s Vera Rubin platform had commenced. Korea JoongAng Daily has described Vera Rubin’s expected release as occurring in the second half of 2026. Neither statement establishes that every Vera Rubin configuration will use identical capacities or module counts.
Samsung’s Q1 2026 earnings presentation and Q1 2026 interim report confirm the platform association and mass-production shipments.
Samsung’s manufacturing position
Korea JoongAng Daily reports that Samsung began mass production of a 192GB SOCAMM2 module using a fifth-generation 10-nanometer-class process identified as 1b. Samsung’s own materials say it is working closely with Nvidia, has commenced mass-produced SOCAMM2 sales and plans to expand AI-memory production, but they do not publish the reported 50% allocation.
The distinction between a module and a chip matters. A SOCAMM2 module is the assembled product; DRAM chips or packages are the components inside it. A statement that Samsung supplies half of the “chips” could refer to capacity, packages, modules or individual dies. SamMobile’s estimate of approximately 830 million 24Gb LPDDR5X chips is a calculation, not a Samsung or Nvidia disclosure.
SK hynix and Micron remain part of the supply chain
A Samsung share near 50% would make it the largest single supplier, not an exclusive supplier. Industry reporting expects the remaining Nvidia requirement to be divided between SK hynix and Micron.
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SK hynix
SK hynix announced mass production of a 192GB SOCAMM2 module on April 20, 2026, designed for Nvidia’s Vera Rubin platform. It says the product uses LPDDR5X made with its 1c process and delivers more than twice the bandwidth and more than 75% better power efficiency than conventional RDIMM. Those comparisons are vendor claims, not independent test results. The announcement is available from SK hynix.
Micron
Korea JoongAng Daily reports that Micron was the first memory maker to supply SOCAMM modules in large quantities and led the earlier SOCAMM generation. Its prior position means Samsung’s reported allocation does not remove Micron from Nvidia’s competitive supplier base.
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How suppliers are likely to win allocations
Production volume alone does not guarantee qualification in an Nvidia system. Suppliers must meet system-level requirements including:
- Nvidia electrical, firmware and platform compatibility testing
- Stable manufacturing yields and the ability to scale quickly
- LPDDR5X density and supported module capacities
- Power consumption, thermal behavior and signal integrity
- Module reliability, serviceability and replacement procedures
- Price and long-term supply commitments
- Compatibility with future Nvidia CPU and rack designs
Korea JoongAng Daily identifies yield and price competitiveness as likely differentiators once large-scale supply begins. Qualification can also vary by capacity or platform revision, so mass production of one module does not prove approval for every configuration.
Why the allocation matters
For Nvidia
A multi-vendor SOCAMM2 supply base can reduce dependence on one memory producer for a component used in next-generation AI systems. Competition among Samsung, SK hynix and Micron may improve negotiating leverage and provide alternatives if one supplier encounters yield, capacity or qualification problems.
For Samsung
A leading SOCAMM2 position would strengthen Samsung’s role in Nvidia’s AI-memory chain at a time when SK hynix gained early prominence in HBM. The reported allocation would give Samsung a significant foothold in a newer memory category without implying that it has displaced rivals in HBM.
For the wider memory market
Large SOCAMM2 orders could redirect LPDDR5X and related DRAM capacity toward AI servers. That may increase competition for wafer capacity and packaging resources, although the effect on prices and total industry supply depends on Nvidia’s ramp, module configurations and suppliers’ ability to add output.
Korea JoongAng Daily also reports that Qualcomm and AMD are evaluating SOCAMM2-style adoption. That indicates potential interest beyond Nvidia, but it is not confirmation of commercial deployment.
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- The exact Samsung–Nvidia contract percentage, price and duration
- Whether “half” refers to calendar-year 2026, a Vera Rubin ramp period or another reporting window
- The final allocation between Samsung, SK hynix and Micron
- Confirmed shipment volumes by module capacity
- Whether every Vera Rubin rack uses the same SOCAMM2 configuration
- Independent performance comparisons against RDIMM under identical workloads
Allocations can change as Nvidia’s demand forecast, qualification results, yields and platform designs change. A reported capacity share also does not automatically equal the same percentage of individual DRAM dies when suppliers use different densities.
The Bottom Line
Samsung appears positioned to become Nvidia’s largest SOCAMM2 supplier, with industry estimates putting its 2026 share at roughly half of Nvidia’s requirement. The confirmed facts are Samsung’s production and Vera Rubin shipments; the exact 50% allocation remains an analyst and industry estimate, while SK hynix and Micron continue to serve as important alternative suppliers.
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