NVIDIA Vice President Chris Penrose: "Physical AI Will Drive the Industrial Revolution"
In an interview with SK Telecom Newsroom:
"Physical AI Spreading Across Industries Such as Manufacturing, Automotive, and Healthcare"
"SK Telecom's GPUaaS and AI CIC Are Global Best Practices"
Chris Penrose, Vice President of NVIDIA, predicted on November 5 that the era of physical AI will drive innovation across various industries, including manufacturing, automotive, and healthcare.
In an interview with the SK Telecom Newsroom on the same day, Penrose stated, "Going forward, agentic AI will expand human capabilities across diverse industries and open a new chapter of industrial innovation." He visited Korea to attend the "SK AI Summit 2025," which was held on November 3 and 4. NVIDIA recently announced plans to supply 260,000 graphics processing units (GPUs) to Korea.
He said, "We have already entered the era of the AI industrial revolution, where 'manufactured intelligence' forms the core foundation of industries worldwide," emphasizing that "the true value of AI lies in enhancing human productivity and creativity, and in opening up new forms of innovation."
He also advised, "For Korea to maintain its leadership in AI, collaboration across technology, talent, and the entire full-stack ecosystem is essential."
Regarding SK Telecom's AI strategy, he assessed, "SK Telecom is making the necessary investments and partnerships to realize the 'AI-native telecom operator' vision that NVIDIA pursues." He particularly highlighted that SK Telecom provides scalable and secure AI infrastructure to enterprises and public institutions through its GPUaaS (GPU as a Service) platform and operates an AI-specialized organization in the form of a company-in-company (CIC), calling this "a global best practice among telecom operators."
He added, "SK Telecom has open-sourced multiple Korean-language large language models (LLMs), enabling companies and government agencies to develop AI solutions optimized for the Korean language and culture. Another strength is its ability to quickly adopt and localize the latest models through global partnerships."
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He further suggested, "To create greater value, companies need to invest in capabilities such as model deployment, fine-tuning, prompt engineering, and workflow integration, while focusing on generating high-quality structured data. It is also necessary to redesign operational systems so that intelligence can be embedded at every layer of the business."
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