{"id":230784,"date":"2025-10-28T20:59:17","date_gmt":"2025-10-28T20:59:17","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/230784\/"},"modified":"2025-10-28T20:59:17","modified_gmt":"2025-10-28T20:59:17","slug":"lilly-deploys-pharmas-largest-most-powerful-ai-factory-for-drug-discovery-using-nvidia-blackwell-based-dgx-superpod","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/230784\/","title":{"rendered":"Lilly Deploys Pharma\u2019s Largest, Most Powerful AI Factory for Drug Discovery Using NVIDIA Blackwell-Based DGX SuperPOD"},"content":{"rendered":"

\tLilly Deploys Pharma\u2019s Largest, Most Powerful AI Factory for Drug Discovery Using NVIDIA Blackwell-Based DGX SuperPOD | NVIDIA Blog<\/p>\n

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\n\t\t\t\t\tBuilt with over 1,000 NVIDIA Blackwell Ultra GPUs, the AI factory will support modern scientific research using foundation models, as well as physical and agentic AI.\t\t\t\t<\/p>\n

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Lilly, a pioneer in medicine, is deploying the largest, most powerful AI factory wholly owned and operated by a pharmaceutical company \u2014 the world\u2019s first NVIDIA DGX SuperPOD<\/a> with DGX B300 systems<\/a>.<\/p>\n

Built with 1,016 NVIDIA Blackwell Ultra GPUs and announced today at NVIDIA GTC Washington, D.C., the AI factory is poised to compress drug discovery timelines and enable accelerated breakthroughs in genomics, personalized medicine and molecular design at industrial scale.<\/p>\n

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\t\t\tVideo courtesy of Lilly.\n\t<\/p>\n

The AI factory will be used to train large scale biomedical foundation and frontier models for drug discovery and development. Select models will be made available on Lilly TuneLab \u2014 an AI and machine learning platform that provides biotech companies with access to drug discovery models built on $1 billion worth of Lilly\u2019s proprietary data.<\/p>\n

TuneLab is now the first drug discovery platform to offer Lilly models and NVIDIA Clara<\/a> open foundation models for healthcare and life sciences, further expanding AI access for the biotech ecosystem.<\/p>\n

TuneLab uses a federated learning infrastructure built on NVIDIA FLARE<\/a>, which enables biotechs to tap into powerful proprietary AI models while keeping their own data private and separate from other users. As more companies participate, the models improve, benefitting all users.<\/p>\n

\u201cOur foundation models are spawning new possibilities for our chemists, helping them uncover new motifs and configurations of atoms that were out of reach with traditional methods,\u201d said Thomas Fuchs, chief AI officer at Lilly. \u201cAI gives us the means to accelerate progress toward both developing and delivering better, more personalized and targeted medicines.\u201d<\/p>\n

\t\t\t\"\u201cAI\t<\/p>\n

The AI factory is powered by NVIDIA\u2019s full-stack AI factory architecture offered with NVIDIA DGX SuperPOD \u2014 including accelerated computing, NVIDIA Spectrum-X<\/a> Ethernet networking and optimized AI software. This provides a secure, scalable, purpose-built platform for the highly regulated healthcare and life sciences industries.<\/p>\n

NVIDIA Mission Control<\/a> software allows Lilly to manage its DGX SuperPOD, orchestrate workloads, monitor performance and automate AI operations securely and efficiently across more than 1,000 GPUs.<\/p>\n

\tAI Applied Across Drug Discovery, Precision Medicine<\/p>\n

Lilly scientists can use the AI factory to analyze entire genome sequences, predict patient outcomes and explore multitudes of biochemical possibilities.<\/p>\n

\u201cIn our 150 years, Lilly has always closely connected science and technology,\u201d said Diogo Rau, executive vice president and chief information and digital officer at Lilly. \u201cIf you focus only on science, you\u2019re just going to have an experiment, a paper or a treatment \u2014 but if you bring together science and technology, like the accelerated compute we\u2019re getting through this AI factory, you can reach a massive scale to bring the treatment to millions of people.\u201d<\/p>\n

\t\t\t\"\u201cIf\t<\/p>\n

Using the NVIDIA BioNeMo<\/a> platform, Lilly can train AI models that combine the learnings of millions of past experiments with public research to generate and test new antibodies, nanobodies and novel molecules with greater accuracy and speed than ever.<\/p>\n

The AI factory can also be applied to help discover new biomarkers and design gene therapies for degenerative conditions, Fuchs said.<\/p>\n

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\t\t\tVideo courtesy of Lilly.\n\t<\/p>\n

And the impact extends beyond drug discovery.<\/p>\n

Using the AI factory, the company can build large language models<\/a> that accelerate clinical trials by helping with medical writing and other internal workflows.<\/p>\n

And combined with the open-source MONAI<\/a> framework, the AI factory can accelerate Lilly\u2019s imaging-based research in precision medicine. Deep learning on massive imaging datasets can reduce processing time from months to days, allowing for quicker, more personalized treatments.<\/p>\n

\tResearch and Biomanufacturing With Physical and Agentic AI<\/p>\n

The AI factory is poised to enhance Lilly\u2019s capacity to manufacture high-demand medications and strengthen supply chain reliability, including through the use of physical AI<\/a>.<\/p>\n

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\t\t\tVideo courtesy of Lilly\n\t<\/p>\n

With technologies like the NVIDIA Omniverse<\/a> platform and NVIDIA RTX PRO Servers<\/a>, the pharma company can create digital twins of its manufacturing lines to model, stress-test and optimize entire supply chains before making physical changes in the real world.<\/p>\n

Digital twins can increase production safety while accelerating quality assurance and other biomanufacturing operations, ultimately getting medicines to patients faster.<\/p>\n

Lilly also uses robots in its factories for quality inspection and transport of goods \u2014 such as medicines and treatment components like injectors \u2014 optimizing operations and keeping production lines up and running.<\/p>\n

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\t\t\tVideo courtesy of Lilly.\n\t<\/p>\n

\u201cMachinery downtime can mean significant delays in getting patients the medicines they rely on,\u201d Fuchs said. \u201cWe\u2019re focused on optimizing systems and driving toward peak performance using AI.\u201d<\/p>\n

With the NVIDIA Isaac<\/a> platform, Lilly can deploy intelligent robotics to modernize therapeutics production and support the workforce. NVIDIA Isaac Sim<\/a>, for example, lets developers simulate and test AI-driven robotics solutions that can be adapted to pharma workflows.<\/p>\n

Plus, using NVIDIA NeMo<\/a> software, Lilly can create AI agents that can reason, plan and act across digital and physical labs, with the goal of helping to generate new molecules, design treatments in silico and test them in vitro.<\/p>\n

\u201cAI agents can work 24\/7 and explore ideas that humans might not have the time or capacity to experiment with,\u201d Rau said. \u201cAt the end of the day, it\u2019s all about human learning \u2014 not machine learning. Machines are helping make humans smarter by stimulating new ideas for new molecules.\u201d<\/p>\n

\t\t\t\"\u201cMachines\t<\/p>\n

\tFueling US Leadership and Economic Growth<\/p>\n

Lilly is already ranked the No. 1 most AI-ready pharma company, according to CB Insights<\/a>, cited as having the highest AI innovation score and the most partnerships with AI-enabled drug development platforms in the industry.<\/p>\n

Now, the new AI factory positions Lilly as an AI-native U.S. and global pharma leader.<\/p>\n

The leap in computing power is immense.<\/p>\n

In 1992, Lilly\u2019s Cray supercomputer was the pinnacle of scientific computing. Today, a single NVIDIA Blackwell Ultra GPU in the new AI factory contains the power of approximately 7 million Cray systems.<\/p>\n

And since the AI factory comprises 1,016 Blackwell Ultra GPUs, it delivers over 9,000 petaflops of AI performance. This means it can do over 9 quintillion math problems every second.<\/p>\n

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The collaboration with NVIDIA is a cornerstone of Lilly\u2019s innovation blueprint, building on its $50 billion commitment to expanding its U.S. manufacturing and R&D footprint. This commitment includes four new facilities and a proposed $4.5 billion lab in Indiana, called the Lilly Medicine Foundry<\/a>, for advanced manufacturing and drug development.<\/p>\n

Combined, these initiatives are poised to create 13,000 high-wage manufacturing and construction jobs. The Medicine Foundry will also create approximately 500 new jobs, including for engineers, scientists, operations personnel and lab technicians.<\/p>\n<\/p>\n

Turning proprietary data into intelligence supports Lilly in helping patients while creating economic value and fueling U.S. leadership in advanced manufacturing and regulated industries.<\/p>\n

\u201cWe\u2019re just scratching the surface of what\u2019s possible with AI in medicine design and development,\u201d Fuchs said. \u201cThis new AI factory and our collaborations across the whole biotech community will fundamentally change how we design, build and develop medicines.\u201d<\/p>\n

\t\t\t\"\u201cWe\u2019re\t<\/p>\n

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