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← Technology 2025.07.03 4 min read Irang 글 · 편집부
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Technology · The Maker

NVIDIA, 유럽 AI 개발사와 협력해 소버린 LLM 최적화

무슨 발표인가

  • 유럽·중동 지역의 소버린 LLM 최적화 추진
  • NVIDIA Nemotron 기술으로 비용 효율성·정확도 향상
  • DGX Cloud Lepton 마켓플레이스에서 클라우드 제공자 참여

유럽·중동

원문 (영어)

NVIDIA GTC Paris at VivaTech —NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models ( LLMs ), providing a springboard to accelerate enterprise AI adoption for the region’s industries.

Model builders and AI consortiums Barcelona Supercomputing Center (BSC), Bielik.AI, Dicta, H Company, Domyn, LightOn, the National Academic Infrastructure for Supercomputing in Sweden (NAISS) together with KBLab at the National Library of Sweden, the Slovak Republic, the Technology Innovation Institute (TII), the University College of London, the University of Ljubljana and UTTER are teaming with NVIDIA to optimize their models with NVIDIA Nemotron techniques to maximize cost efficiency and accuracy for enterprise AI workloads, including agentic AI.

Model post-training and inference will run on AI infrastructure in Europe from NVIDIA Cloud Partners ( NCPs ) participating in the NVIDIA DGX Cloud Lepton marketplace. The open, sovereign models will provide a foundation for an integrated regional AI ecosystem that reflects local languages and culture.

Europe’s enterprises will be able to run the models on Perplexity , an AI-powered answer engine used to answer over 150 million questions per week. Companies will also be able to fine-tune the sovereign models on local NCP infrastructure through a new Hugging Face integration with DGX Cloud Lepton.

“Europe’s diversity is its superpower — an engine of creativity and innovation,” said Jensen Huang, founder and CEO of NVIDIA.

원문: NVIDIA News — "NVIDIA Partners With Europe Model Builders and Cloud Providers to Accelerate Region’s Leap Into AI" (2025-07-03) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-partners-with-europe-model-builders-and-cloud-providers-to-accelerate-regions-leap-into-ai

NVIDIA News
delayseconds · 2025.07.03
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NVIDIA, 유럽 AI 개발사와 협력해 소버린 LLM 최적화

2025.07.03 · 4 min · Irang

무슨 발표인가

유럽·중동

원문 (영어)

NVIDIA GTC Paris at VivaTech —NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models ( LLMs ), providing a springboard to accelerate enterprise AI adoption for the region’s industries.

Model builders and AI consortiums Barcelona Supercomputing Center (BSC), Bielik.AI, Dicta, H Company, Domyn, LightOn, the National Academic Infrastructure for Supercomputing in Sweden (NAISS) together with KBLab at the National Library of Sweden, the Slovak Republic, the Technology Innovation Institute (TII), the University College of London, the University of Ljubljana and UTTER are teaming with NVIDIA to optimize their models with NVIDIA Nemotron techniques to maximize cost efficiency and accuracy for enterprise AI workloads, including agentic AI.

Model post-training and inference will run on AI infrastructure in Europe from NVIDIA Cloud Partners ( NCPs ) participating in the NVIDIA DGX Cloud Lepton marketplace. The open, sovereign models will provide a foundation for an integrated regional AI ecosystem that reflects local languages and culture.

Europe’s enterprises will be able to run the models on Perplexity , an AI-powered answer engine used to answer over 150 million questions per week. Companies will also be able to fine-tune the sovereign models on local NCP infrastructure through a new Hugging Face integration with DGX Cloud Lepton.

“Europe’s diversity is its superpower — an engine of creativity and innovation,” said Jensen Huang, founder and CEO of NVIDIA.

원문: NVIDIA News — "NVIDIA Partners With Europe Model Builders and Cloud Providers to Accelerate Region’s Leap Into AI" (2025-07-03) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-partners-with-europe-model-builders-and-cloud-providers-to-accelerate-regions-leap-into-ai

NVIDIA News
delayseconds · 2025.07.03
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