Nvidia expands South Korea AI partnerships for chips, cloud and robotics
Nvidia has announced new South Korean AI partnerships spanning memory chips, AI data centers, cloud services and robotics. The deals were announced during CEO Jensen Huang’s visit to South Korea, where he met leaders from SK Hynix, Naver, SK Telecom, Doosan Group, LG Group and Hyundai Motor Group.
SK Hynix signed a multi-year memory partnership to support Nvidia’s global AI data center plans, focusing on advanced memory products. Huang said SK Hynix remains Nvidia’s largest memory partner and that Nvidia purchases from SK Hynix already total “billions of dollars” annually, with growth expected. He also noted SK Hynix’s plan to double memory wafer capacity by 2030 would not fully meet AI demand. The agreement is set to run for more than two years, with extension options.
SK Telecom plans to build a gigawatt-scale AI cloud in South Korea using Nvidia technology, targeting its first AI data center in 2027. Nvidia said Naver and Doosan will also use Nvidia technology for AI data centers, including Doosan’s work around robots and energy solutions supporting Nvidia platforms. LG Group’s collaboration covers electronics, mechanical systems and humanoid-robot AI, alongside discussions on future data center architecture (cooling, power delivery and design). Hyundai cooperation focuses on autonomous mobility, robotics and AI-powered manufacturing, including its planned AI data center in Saemangeum, dubbed an “AI Valley.”
Separately, South Korea’s tech ministry said it plans a 2026 state AI project securing 9,704 GPUs, including 2,016 Nvidia Vera Rubin GPUs.
While financial terms were not disclosed, the scale reinforces ongoing AI infrastructure demand for Nvidia and its supply chain.
Neutral
This is a corporate supply-chain and infrastructure expansion story, not a direct crypto policy, protocol change, or token-specific catalyst. The partnerships mainly affect Nvidia’s semiconductor and AI-capex demand outlook (notably memory chips and GPU-related infrastructure), which is more likely to support broad risk sentiment around tech equities than to move crypto fundamentals directly.
In the short term, traders may treat major AI-chip deal news as a “risk-on” signal—similar to past instances when US/EU AI infrastructure announcements lifted semiconductor stocks and improved market mood, sometimes coinciding with higher crypto inflows. However, without disclosed financials, concrete GPU orders beyond the state project, or explicit market-linked hedging/financing changes in crypto markets, the impact should be limited.
In the long term, sustained AI data-center buildouts can gradually reinforce expectations for compute demand and liquidity in global markets. But crypto typically reacts more strongly to direct drivers such as ETF flows, macro liquidity (rates/FX), regulation headlines, or exchange/issuer actions. Therefore, the expected effect on overall crypto market stability is neutral.