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Krafton Bets KRW 50 Billion on HyperAccel's LPU Chips to Cut AI Inference Costs, Marking Rare Game-to-Chip Move

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この記事の日本語訳は準備中です。以下は英語の原文です。

Krafton Bets KRW 50 Billion on HyperAccel's LPU Chips to Cut AI Inference Costs, Marking Rare Game-to-Chip Move

Seoul, June 23, 2026 — Krafton Inc. (259960.KS), the South Korean game developer behind PUBG: Battlegrounds, has agreed to invest approximately KRW 50 billion (USD 36 million) as a strategic investor in the Series B round of AI semiconductor startup HyperAccel, the company disclosed Monday. The move marks a rare instance of a listed game publisher directly backing a chipmaker, underscoring Krafton's declared pivot toward becoming an "AI-first" technology company.

Krafton's commitment represents roughly one-third of HyperAccel's total Series B fundraising target of KRW 150 billion (USD 108 million). The proceeds are earmarked to accelerate the commercial launch of HyperAccel's proprietary Language Processing Unit (LPU) architecture — an AI inference chip engineered specifically for large language model (LLM) workloads.


What HyperAccel Offers: LPUs as a Low-Cost Nvidia Alternative

HyperAccel, a fabless startup founded in 2023 by Korea Advanced Institute of Science and Technology (KAIST) professor Kim Joo-young, has developed a chip it calls the Bertha, manufactured on a 4-nanometer process with mass production targeted to begin in early 2026. Unlike conventional AI accelerators that rely on costly and supply-constrained High Bandwidth Memory (HBM), Bertha uses LPDDR memory, which is both cheaper and more widely available.

According to the company, the LPU delivers:

  • 1/10th the cost of a comparable GPU-based inference setup
  • 67% reduction in power consumption versus equivalent GPU configurations
  • 19x better price-performance ratio than traditional GPU supercomputer clusters
  • Up to 2x throughput improvement for transformer-based LLM inference tasks

HyperAccel raised KRW 55 billion in its Series A, which it used to complete chip design and initiate foundry partnerships. SemiSix has already signed a mass-production contract for the Bertha chip.


Krafton's Strategic Calculus: Inference Is a Game-Company Problem

Krafton's decision to invest in a chipmaker stems directly from its own AI infrastructure buildout. The company has spent USD 70 million on a GPU cluster to power AI characters and agentic AI systems inside its game titles, and concluded from that experience that inference cost is a core competitive variable for AI-enabled gaming.

The company's PUBG infrastructure — a persistent virtual environment with millions of concurrent interactions — gives physical AI systems a training ground. Krafton views HyperAccel's LPU as a way to run those inference workloads at a fraction of current Nvidia GPU costs, reducing both operating expenses and dependence on a single chip supplier.

The HyperAccel Series B follows Krafton's recently disclosed collaboration with a Korean aerospace firm that includes investment of up to USD 1 billion, further signalling its intent to extend beyond entertainment into physical AI and defense applications.


Market Context

South Korea has been actively cultivating a domestic AI semiconductor ecosystem as an alternative to Nvidia's dominant H-series GPUs. HyperAccel joins a cohort of Korean LPU and neural processing unit (NPU) startups competing for enterprise inference contracts, with backing from both strategic investors and government-aligned venture funds.

Krafton's stock (259960.KS) has outperformed the broader KOSPI technology cohort year-to-date, supported by PUBG's resilience and growing investor confidence in the company's AI pivot. The HyperAccel investment adds a chip-layer asset to Krafton's AI portfolio, potentially delivering downstream cost advantages should the Bertha chip reach commercial scale by late 2026.


Key Numbers

MetricValue
Krafton investmentKRW 50B (USD 36M)
HyperAccel Series B targetKRW 150B (USD 108M)
Krafton share of Series B~1/3
HyperAccel Series A raisedKRW 55B
Bertha chip process node4nm
LPU cost vs. GPU~1/10th
Power reduction vs. GPU~67%
Price-performance vs. GPU supercomputer19x better

Sources: KED Global (June 23, 2026); Bloomingbit / HyperAccel investor disclosures; Seoul Economic Daily (April 2026)

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