Why Jensen Huang Would Meet NAVER: After SoftBank, YTL and Dell, Korea Needs an AI Factory Operator

Context This is a follow-up to NAVER’s re-rating setup around Dunamu, Mirae Asset, AI cloud and stablecoins and Korea after GTC Taipei: what the market is watching in Jensen Huang’s visit. The question here is simple: why would NVIDIA place NAVER next to names like SoftBank, YTL and Dell in its AI factory map?

TL;DR

Jensen Huang’s interest in NAVER is not just about NAVER buying more GPUs. NVIDIA’s recent partner pattern is to work with local operators that can turn accelerated computing into national or enterprise AI infrastructure.

SoftBank brings Japan’s telco network, AI-RAN and sovereign AI infrastructure. YTL brings Malaysian power, green data centers and sovereign AI ambitions. Dell brings an enterprise AI factory package. NAVER brings a Korean cloud platform, HyperCLOVA X, search-commerce-payment data, maps, robotics/digital-twin assets and a plan for more than 60,000 NVIDIA GPUs.

1. What is already confirmed

[Fact] NVIDIA announced on October 31, 2025 that it is working with South Korea to build AI infrastructure with more than a quarter-million NVIDIA GPUs across sovereign clouds and AI factories. The same release states that NAVER Cloud plans to deploy over 60,000 GPUs for enterprise and physical AI workloads. It also names NAVER Cloud, LG AI Research, SK Telecom, NC AI, Upstage and NVIDIA as collaborators on Korean foundation LLMs. (NVIDIA)

[Fact] NAVER announced on June 2, 2026 that NAVER Cloud is joining forces with NVIDIA to build global AI factories. NAVER says the collaboration spans infrastructure, models and services, and that Jensen Huang named NAVER Cloud as a key partner in the global AI ecosystem at GTC Taipei 2026. (NAVER)

[Fact] NAVER Cloud plans to use NVIDIA’s open LLM technology, Nemotron 3 Ultra, to improve HyperCLOVA X, and both companies plan joint research on hyperscale model optimization and core technologies. NAVER also highlighted Seoul World Model, built with NVIDIA Cosmos for physical AI and digital-twin use cases. (NAVER)

The chain is:

GPU procurement
→ NAVER Cloud AI infrastructure
→ HyperCLOVA X / Nemotron collaboration
→ Sovereign AI / industrial AI / physical AI
→ Potential Korean AI factory operator

2. Why compare NAVER with SoftBank, YTL and Dell?

The common thread is that NVIDIA is not only choosing hardware buyers. It is choosing operators that can connect compute to energy, networks, data centers, cloud services and real customers.

SoftBank shows the telecom-AI infrastructure model. YTL shows the sovereign AI plus data-center-power model. Dell shows the enterprise AI factory model. NAVER overlaps with all three, though in a Korean platform-cloud form.

3. NAVER’s AI factory assets

NAVER reported Q1 2026 revenue of KRW 3.2411 trillion and operating profit of KRW 541.8 billion. Revenue rose 16.3% year on year, while operating profit rose 7.2%, with AI infrastructure investment affecting profitability. (NAVER)

4. Valuation: EPS matters, but multiple matters first

Using the attached research baseline, NAVER was around KRW 267,500 in early June 2026, with market cap around KRW 42 trillion and headline P/E around 22.5x. These should be treated as a sensitivity baseline, not a live quote.

One turn of P/E is worth roughly:

EPS KRW 11,885 × 156.87 million shares = about KRW 1.86 trillion market cap

So a move from 22.5x to 28x can imply about KRW 10 trillion of market value creation before EPS upgrades. That is why the stock can move on multiple re-rating first.

5. Direct GPU monetization is not enough yet

The GPUaaS math is straightforward:

Annual revenue = commercialized GPUs × 8,760 hours × utilization × GPU-hour price × FX

The base case alone is too small to justify a large equity re-rating. The bull and blue-sky cases matter only if NAVER proves external customers, high utilization, attractive pricing and reasonable depreciation-adjusted margins.

6. The more realistic early path: platform monetization

Near term, NAVER is more likely to monetize AI through its existing platform than through standalone GPU rentals. AI search, shopping agents, ad targeting, payment and booking data can lift the NAVER Platform business before AI factory revenue becomes visible.

The investment thesis is therefore:

Core search, shopping and payment monetization
+ NAVER Cloud external AI customers
+ sovereign AI / physical AI partnerships
+ NVIDIA-recognized local AI factory status
= EPS upside + P/E re-rating

7. Price-band interpretation

8. Risks

AI factory is an attractive phrase, but without numbers it can simply mean capex. Dell’s AI server story is useful here: AI infrastructure revenue can grow quickly, but the market still punishes margin pressure, working-capital strain and low-profit growth. (Reuters)

[Blocked] Public data still does not confirm NAVER Cloud’s detailed GPU deployment schedule, capex, external customer names, contract value, utilization or depreciation-adjusted operating margin.

Final view

NAVER-NVIDIA can change NAVER’s peer set. NVIDIA appears to view NAVER as a Korean AI factory operator candidate: cloud, Korean-language model, data, payments, maps, robotics and sovereign AI infrastructure in one stack.

But the re-rating needs numbers.