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source ↗AMD and Upstage Expand Strategic Collaboration to Advance Sovereign AI Infrastructure in Korea
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SEOUL, South Korea and SANTA CLARA, Calif. – March 18, 2026 – AMD (NASDAQ: AMD) and Upstage, South Korea’s leading AI lab focused on developing Artificial General Intelligence, today announced an expansion of their strategic collaboration to accelerate the development and deployment of next-generation AI models and contribute to Korea’s sovereign AI ecosystem. The announcement follows a meeting in Seoul between Upstage CEO Sung Kim and AMD Chair and CEO Dr. Lisa Su, where the two leaders discussed a range of collaboration opportunities to drive AI innovation across the region. Under the expanded collaboration, Upstage will immediately begin deploying AMD Instinct™ MI355 GPUs supported by a multi-phase roadmap over the next year. The deployment will enable the development and scaling of Upstage’s large language models and document processing engines designed to transform enterprise workflows and support sovereign AI initiatives. This includes contributing to the development of a sovereign AI model as part of Korea's government-led Proprietary AI Foundation Model project. Together, AMD and Upstage aim to strengthen Korea’s domestic AI ecosystem while diversifying the nation’s sovereign AI infrastructure. "AMD is a cornerstone of global AI computing infrastructure, and this collaboration will be instrumental in both advancing our proprietary Solar LLMs and building Korea's sovereign AI model," said Sung Kim, CEO of Upstage. "Pairing that with domestic infrastructure gives us the foundation to make Korea a genuinely competitive force in global AI." “Upstage is at the forefront of AI innovation in Korea, building advanced language models and AI engines that serve enterprises, governments and regulated industries,” said Dr. Lisa Su, chair and CEO, AMD. “This collaboration brings together AMD Instinct GPUs and the ROCm open software with Upstage’s expertise to advance Korea’s sovereign AI capabilities and deliver the performance, efficiency and open ecosystem needed to accelerate AI innovation.”
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