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Lilly Partners with NVIDIA to Build the Industry's Most Powerful AI Supercomputer, Supercharging Medicine Discovery and Delivery for Patients
Eli Lilly will operate the supercomputer powered by 1,000+ Nvidia GPUs to accelerate drug discovery and reduce development time, aiming to impact medicine by 2030.
- On Oct. 28, 2025, Eli Lilly and Company announced it is building the pharmaceutical industry's most powerful supercomputer, unveiling the plan at NVIDIA's GTC conference in Indianapolis.
- To shorten drug development, Eli Lilly and Company plans to leverage decades of proprietary research data and Lilly TuneLab to speed discovery and help get treatments to people faster.
- Powered by more than 1,000 GPUs, the system uses the world's first NVIDIA DGX SuperPOD with DGX B300 systems on a unified networking fabric.
- Eli Lilly and Company expects the supercomputer buildout to finish in December, with the AI factory and system going online in January to accelerate drug discovery.
- Kimberly Powell, vice president of health care at NVIDIA, said, `The AI industrial revolution will have its most profound impact on medicine, transforming how we understand biology`; she added, `We would actually like to deliver on that promise of precision medicine.
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PR Newswire+10 Reposted by 10 other sources
Lilly partners with NVIDIA to build the industry's most powerful AI supercomputer, supercharging medicine discovery and delivery for patients
/PRNewswire/ -- Eli Lilly and Company (NYSE: LLY) today announced it is building the most powerful supercomputer owned and operated by a pharmaceutical...
·United States
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The spokesman-Review+2 Reposted by 2 other sources
Lilly partners with Nvidia on AI supercomputer to speed up drug development
Eli Lilly said on Tuesday it was collaborating with Nvidia to build a supercomputer to help with drug discovery and shorten development cycles, getting medicines to people faster.
·Spokane, United States
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Total News Sources27
Leaning Left2Leaning Right0Center9Last UpdatedBias Distribution82% Center
Bias Distribution
- 82% of the sources are Center
82% Center
L 18%
C 82%
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