SK Telecom named key Nvidia partner for manufacturing AI at GTC Taipei
Jensen Huang spotlighted SK Telecom's use of Nvidia Omniverse to build digital twins of semiconductor fabs, sending SKT shares up over 13%.
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Add us on Google by Editorial Team Jun. 1, 2026A telecom company just became one of the most important names in semiconductor manufacturing. That’s not a sentence anyone expected to write, yet here we are.
Nvidia CEO Jensen Huang called out SK Telecom as a strategic partner in manufacturing physical AI during his keynote at GTC Taipei on June 1, 2026. The partnership centers on SK Telecom’s use of Nvidia’s Omniverse platform to build detailed 3D simulations of SK Hynix’s semiconductor factories, essentially creating digital twins that can optimize production in real time.
What the partnership actually looks like
SK Telecom is building that simulation for SK Hynix, South Korea’s memory chip giant and a company that supplies a significant chunk of the world’s high-bandwidth memory used in AI chips. The effort falls under SK Hynix’s “Autonomous Fab 2030” vision, which aims to create semiconductor factories that essentially run themselves.
AdvertisementThis wasn’t a one-off shoutout, either. Huang previously highlighted SK Telecom during his March 2026 keynote at GTC San Jose, placing the company alongside partners like Boston Dynamics.
The foundation for all of this was laid on October 31, 2025, when SK Group and Nvidia formally announced a partnership to build what they described as one of South Korea’s largest AI factories. That initiative deploys more than 2,000 Nvidia RTX PRO 6000 Blackwell GPUs, with SK Telecom serving as the primary cloud provider and technology optimizer for the entire stack.
The market’s reaction was immediate
Investors clearly liked what they heard. SK Telecom shares surged 13.42% on June 1 to close at 114,100 won, roughly $75.80 per share.
What this means for investors
For anyone watching the semiconductor supply chain, this matters. SK Hynix is already one of the most critical companies in the AI boom, supplying high-bandwidth memory chips to Nvidia itself. If autonomous fab technology actually works at scale, it could meaningfully improve yields and reduce production costs for the very chips that power AI training.
The risk, of course, is execution. “Autonomous Fab 2030” is a four-year-away target, and the gap between a useful simulation tool and a fully autonomous semiconductor factory is enormous. Investors who bought the 13% pop are betting that SK Telecom can close that gap alongside Nvidia.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.
