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5년, 최대 10억 달러, 캘리포니아

원문 (영어)

News Summary: NVIDIA and Lilly bring together a world-leading, multidisciplinary team of scientists, AI researchers and engineers to address the hardest problems in drug discovery. The co-innovation lab infrastructure will be built on the NVIDIA BioNeMo platform and the NVIDIA Vera Rubin architecture.

NVIDIA and Lilly will pioneer robotics and physical AI to accelerate and scale medicine discovery and production. J.P. Morgan Healthcare Conference —NVIDIA and Eli Lilly and Company today announced a first-of-its-kind AI co-innovation lab focused on applying AI to tackle some of the most enduring challenges in the pharmaceutical industry.

The lab brings together Lilly’s world-leading expertise in discovering, developing and manufacturing medicines with NVIDIA’s leadership in AI, accelerated computing and AI infrastructure. The two companies will invest up to $1 billion in talent, infrastructure and compute over five years to support the new AI co-innovation lab.

Based in the San Francisco Bay Area, the lab will co-locate Lilly domain experts in biology, science and medicine with top AI model builders and engineers from NVIDIA, allowing them to work side by side to generate large-scale data and build powerful AI models that can accelerate medicine development, using NVIDIA BioNeMo as the critical platform.

“AI is transforming every industry, and its most profound impact will be in life sciences,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA and Lilly are bringing together the best of our industries to invent a new blueprint for drug discovery — one where scientists can explore vast biological and chemical spaces in silico before a single molecule is made.”

“For nearly 150 years, we’ve been working to bring life-changing medicines to patients,” said David A.

원문: NVIDIA News — "NVIDIA and Lilly Announce Co-Innovation AI Lab to Reinvent Drug Discovery in the Age of AI" (2026-02-27) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-and-lilly-announce-co-innovation-lab-to-reinvent-drug-discovery-in-the-age-of-ai