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Barry, OppHub America Desk · · Source: prnewswire-all

SEMIFIVE Begins Mass Production of AI Accelerator on Samsung 4nm

SEM's move into mass production for inference accelerators on advanced nodes could signal broader demand shifts in the custom chip sector.

Based on reporting from prnewswire-all.

SEMIFIVE commenced mass production of HyperAccel's LLM AI inference accelerator, 'Bertha,' on Samsung's 4nm process. This marks a significant expansion into data center AI for the custom semiconductor solutions provider, signaling robust growth momentum.

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SEMIFIVE Begins Mass Production of AI Accelerator on Samsung 4nm
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SEMIFIVE has initiated mass production of HyperAccel's AI inference accelerator, dubbed 'Bertha,' utilizing Samsung Foundry's 4nm process node. This development represents SEMIFIVE's entry into large-scale production for data center AI applications, with expectations for steady volume expansion driven by follow-on orders as HyperAccel rolls out its services.

### Money Play If custom AI semiconductor demand accelerates, watch SEMIFIVE's mass production ramp-up for potential revenue gains.

## Catalyst Analysis: AI Inference Accelerator Production SEMIFIVE reported securing an initial mass production contract for HyperAccel's AI inference accelerator, 'Bertha.' The chip is designed for AI inference workloads, including large language models, and is characterized by a large die size exceeding 500 mm². The company highlighted its capability to deliver a complete turnkey solution from design to manufacturing, addressing the complexities associated with advanced node and large-die chip production.

This mass production milestone follows previous programs for security cameras and high-performance computing AI chips, diversifying SEMIFIVE's revenue stream beyond one-time engineering services. The company reported KRW 42.3 billion in new mass-production orders in the first half of 2026, nearly double the full-year intake of KRW 21.2 billion for 2025. Quarterly order intake surged 71% from KRW 15.6 billion in the first quarter to KRW 26.7 billion in the second quarter. Overseas orders constituted 45% of second-quarter bookings.

## $ASIC+WL Technical Analysis & Key Risk Watch

## Sector Ripple / Impact on Semiconductor Manufacturing Companies involved in advanced semiconductor manufacturing, such as those utilizing Samsung Foundry's nodes, may see increased order flow as demand for AI inference accelerators grows. The successful ramp-up of 'Big Die' chips also indicates advancements in packaging and testing capabilities across the supply chain.

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Snapshot date: September 8, 2026 at 1:30 AM ET

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Story → money map

Custom AI Chips

A specialized chip design company has started mass-producing a new artificial intelligence microchip using advanced manufacturing. Investors care because this turns one-time design work into steady, repeating manufacturing revenue.

What changed

SEMIFIVE initiated mass production of an AI inference accelerator on Samsung's 4nm process node.

Who wins / who loses

Custom semiconductor designers and foundry service providers benefit, while traditional general-purpose chip suppliers face rising competition in specialized data center workloads.

Time horizon

Think in terms of the next few months.

Confidence & best fit

medium confidence · Long-term investor, Active trader

Quick glossary: Watch = track, don’t buy yet · Build slowly = only if it fits your plan · Protect = reduce risk · ETF = a basket of stocks (often safer than one company)
Safer theme exposure (ETFs)

Baskets that own the theme without betting on one company.

  • $SMH A basket of many semiconductor stocks, protecting you from the risk of betting on just one company.

    Chart →

  • $SOXX Another broad chip fund that lets you invest in the whole industry rather than picking individual winners.

    Chart →

Single stocks (higher risk)

Primary = closest to the story · Peers = same industry · Second-order = knock-on effects · Avoid = looks related but may be a trap

Primary

  • $SSNLFWatch — track, don’t rush

    Samsung makes the physical chips, so getting more big AI orders helps their manufacturing business.

Peer

  • $NVDAWatch — track, don’t rush

    Nvidia dominates AI chips, so new competitors ramping up production are important to watch.

    View $NVDA chart → · End-of-day delayed data

  • $AMDWatch — track, don’t rush

    Other chipmakers must watch how fast custom alternatives take hold in data centers.

    View $AMD chart → · End-of-day delayed data

Second-order

  • $TSMWatch — track, don’t rush

    As the industry giant in advanced chipmaking, their business is tied to overall AI chip demand.

    View $TSM chart → · End-of-day delayed data

Options (education only)

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Beginners should skip options here because the main company involved is not easily traded on U.S. stock exchanges.

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Income / OppHub America angle

Not a trade tip — ways to use the insight outside the market.

  • Look into regional Korean or Asian semiconductor supply chain suppliers benefiting from advanced node expansion.
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What would break this thesis
  • A severe slowdown in data center AI spending or delays in follow-on orders for HyperAccel's accelerator.
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Based on reporting from prnewswire-all.

Informational and educational only — not investment, financial, or legal advice. Disclosure

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