Samsung Achieves World-First 8nm MRAM at Mass-Production Yield, Plans 5nm by 2027

By NineScrolls Team · 2026-04-17 · 7 min read · Industry

The 8nm MRAM Breakthrough

Samsung Electronics announced at ISSCC 2026 (International Solid-State Circuits Conference) the first industry implementation of embedded MRAM (eMRAM) on an 8nm FinFET process, with verified mass-production yield. It is the most advanced process node at which any manufacturer has demonstrated MRAM with production-qualified performance—a significant leap from Samsung's own 14nm eMRAM, which the company launched at the end of 2024.

MRAM, or Magnetoresistive Random-Access Memory, stores data by switching the magnetic orientation of ultra-thin ferromagnetic layers separated by a tunneling dielectric—the magnetic tunnel junction (MTJ). Because MRAM is non-volatile (it retains data without power), radiation-hard, and endurance-unlimited, it is a long-sought replacement for embedded Flash and SRAM caches in both logic chips and microcontrollers. Industry analysts have dubbed it "dream memory" for edge AI and automotive platforms.

The April 16–17, 2026 announcement represents Samsung's foundry division confirming that 8nm eMRAM has cleared the yield threshold required for commercial insertion—the milestone that separates a laboratory demonstration from a product that customers can order.

Performance Gains Over 14nm

Samsung reported three headline improvements for the 8nm generation compared to its prior 14nm eMRAM node. Write speed improved by 62.5%, and integration density reached 19.94 megabits per square millimeter—an 11.5% increase over the 14nm generation. The combined figure of merit, which accounts for both speed and density, improved by 52.9%.

The device operates at a supply voltage as low as 0.6V—important for automotive SoCs and always-on AI inference engines where power budgets are tight. Samsung also confirmed the 8nm MRAM meets AEC-Q100 Grade 1 automotive reliability, meaning it is qualified to operate across the full automotive temperature range of –40°C to 150°C without data loss. That qualification is a prerequisite for any memory technology targeting in-vehicle compute platforms, ADAS processors, or engine-control units.

In broad system terms, MRAM read latency is roughly 1,000 times faster than NAND flash and several times faster than embedded Flash, while write endurance is effectively unlimited compared to Flash's finite program/erase cycle ceiling. These characteristics make it a natural fit for AI model weight caching at the network edge and for safety-critical automotive registers that must survive power-cycle events.

Automotive and AI Applications

The two primary markets Samsung cited for 8nm eMRAM are automotive MCUs and AI inference chips. In automotive, the 2024-era transition to centralized zone-based vehicle compute architectures has raised the bar on embedded memory: systems-on-chip now execute safety software at ASIL-D, require near-instant wake from sleep, and must tolerate temperatures that destroy conventional NOR Flash reliability margins. Samsung's AEC-Q100 Grade 1 certification directly addresses these requirements.

For AI, the opportunity is in on-chip weight storage for neural network inference at the edge—applications including robotics, surveillance, industrial automation, and wearables. Unlike DRAM, MRAM retains weights between inference cycles without refresh power. Unlike embedded Flash, MRAM can be rewritten in-field as model updates are pushed over-the-air without the multi-millisecond block-erase latency that creates inference stalls. The combination of 8nm density and sub-nanosecond access time positions Samsung's eMRAM as a candidate for the L2/L3 weight cache tier in dedicated neural processing units (NPUs).

Samsung vs. TSMC: Race to 5nm MRAM

Samsung's roadmap does not stop at 8nm. The company has publicly committed to mass production of 5nm eMRAM in 2027. TSMC is targeting concurrent 5nm MRAM completion on its own process, according to industry sources—setting up the first head-to-head foundry competition at the bleeding edge of magnetic memory scaling.

Scaling MRAM is technically different from scaling conventional CMOS. As the MTJ pillar diameter shrinks below 20nm (as required for 8nm node integration), the thermal stability factor of the magnetic free layer decreases, making it harder to retain data at elevated temperature. Samsung's ability to achieve AEC-Q100 Grade 1 at 8nm demonstrates that it has found a magnetic stack composition—likely involving interfacial perpendicular magnetic anisotropy (iPMA) in ultra-thin CoFeB/MgO/CoFeB layers—that maintains sufficient thermal barrier energy even at these dimensions. The 5nm generation will require further engineering of the MTJ stack, the surrounding dielectric integration scheme, and the etch process used to pattern sub-15nm MTJ pillars.

Samsung's foundry division first qualified 28nm eMRAM in 2019, advanced to 14nm in 2024, and now to 8nm in 2026—each node transition compressing approximately two to three years. The 5nm milestone, if achieved on the stated 2027 schedule, would continue that cadence and establish Samsung as the production leader in advanced MRAM scaling.

What This Means for Plasma Processing and Thin Film Deposition

MRAM manufacturing is among the most demanding thin film and plasma processing challenges in the semiconductor industry, and the transition from 14nm to 8nm—and eventually to 5nm—intensifies those demands across every equipment category.

PVD and Precision Sputtering: The MTJ stack at the heart of every MRAM cell is a multilayer PVD structure. A typical perpendicular-MTJ stack contains 20 to 30 individual layers, including the CoFeB free layer (~1–2nm), the MgO tunnel barrier (~1nm), a CoFeB reference layer (~1nm), synthetic antiferromagnet layers of Ru, Co, and Pt, and electrode layers of Ta or W. Each layer must be deposited by magnetron sputtering with sub-angstrom thickness uniformity and extremely low interface roughness. As the MTJ pillar diameter shrinks to the 8nm node, the margin for cross-wafer uniformity errors compresses proportionally. High-throughput, multi-cathode PVD cluster tools—capable of depositing the full MTJ stack without breaking vacuum—are the primary enabler of this technology, and Samsung's 8nm yield announcement signals that its PVD process has cleared the production bar at the hardest node yet.

ALD for Tunnel Barriers and Dielectric Encapsulation: The MgO tunnel barrier, which controls both the tunneling magnetoresistance ratio and the thermal stability of the MTJ, is increasingly deposited using atomic layer deposition at advanced nodes to achieve the ~1nm thickness with pinhole-free coverage that plasma-enhanced CVD or sputtered MgO cannot reliably provide at sub-20nm pillar diameters. Separately, the SiN encapsulation films that protect the etched MTJ pillar—critical to preventing magnetic contamination of the surrounding dielectric—are often deposited using low-temperature ALD or PECVD to minimize thermal budget impact on the magnetic stack.

Ion Beam Etching and Plasma Etch Challenges: Patterning the MTJ pillar is the hardest etch problem in MRAM manufacturing. Magnetic transition metals (CoFeB, Co, Pt, Ir, Ru) do not form volatile etch byproducts in conventional fluorine or chlorine plasma chemistries—the metals simply redeposit on sidewalls rather than leaving the wafer. The dominant patterning approach is ion beam etching (IBE), which uses a directed beam of Ar⁺ ions to sputter-etch the MTJ stack at a controlled angle, combined with in-situ mass spectrometry to endpoint the etch at each material interface. At 8nm, the aspect ratio of the MTJ pillar is high enough that IBE angle optimization and beam current uniformity are critical to achieving acceptable etch profiles without shorting the tunnel barrier. Conventional plasma etch tools from Lam Research and Applied Materials are used for the surrounding dielectric and hardmask layers, but the magnetic layers themselves require IBE systems. As Samsung pushes to 5nm, IBE tool vendors and plasma etch suppliers face growing demand for next-generation chambers capable of sub-15nm MTJ patterning.

Plasma Activation and Interface Engineering: Before MTJ stack deposition, plasma-based surface activation and cleaning steps are used to prepare the underlying contact metal and remove native oxides that would degrade tunnel barrier quality. Plasma activation of the CoFeB/MgO interface after deposition also plays a role in the post-stack anneal step, where an applied magnetic field at 300–400°C crystallizes the CoFeB and MgO layers into the textured BCC structure that delivers maximum TMR ratio. Process control for these plasma-assisted interface engineering steps is a direct differentiator in MTJ performance.

Samsung's 8nm MRAM at production yield is, in effect, a validation signal for the entire chain of PVD, ALD, IBE, and plasma etch equipment that makes the technology possible. As the foundry race to 5nm MRAM accelerates—with Samsung targeting 2027 and TSMC running in parallel—demand for precision PVD cluster tools, ALD-capable tunnel barrier systems, and next-generation ion beam etch equipment will intensify. For thin film deposition and plasma processing equipment suppliers, MRAM represents one of the most technically demanding—and highest-margin—insertion opportunities in the advanced memory equipment market.