
NVIDIA ignites the next battlefield: Partnering with Johnson & Johnson and Eli Lilly, the trillion-dollar pharmaceutical industry welcomes the revolution of "AI Surgery" and "Pharmaceutical Factories"

NVIDIA's CEO stated that Johnson & Johnson and Eli Lilly are leveraging NVIDIA technology to optimize products and develop new therapies. Johnson & Johnson is training surgical robots and simulating surgical processes, aiming for non-invasive surgeries in the future. NVIDIA is collaborating with Eli Lilly to build a supercomputer, serving as an "AI factory" for new drug discovery and improving drug production. Eli Lilly mentioned that by intelligently embedding workflows, they are unlocking new business models and driving medical advancements. The supercomputer will be based on the Blackwell architecture, equipped with the DGX B300 system, featuring over 1,000 B300 GPUs
According to the Zhitong Finance APP, NVIDIA (NVDA.US) CEO stated on Tuesday that Johnson & Johnson (JNJ.US) and Eli Lilly (LLY.US) are leveraging NVIDIA's technology to optimize existing products or assist in the development of new therapies.
At the NVIDIA GTC conference held in Washington, Jensen Huang pointed out that Johnson & Johnson is using NVIDIA products to train some surgical robots and is simulating surgical processes through "digital twin" technology.
He stated, "These Johnson & Johnson surgical robots will even be able to perform non-invasive surgeries, achieving unprecedented precision globally."
Jensen Huang also mentioned that NVIDIA has reached a new collaboration with Eli Lilly—both parties will jointly build a supercomputer. This computer will serve as an "artificial intelligence factory," used for discovering new drugs and improving drug production processes.
Thomas Fuchs, Senior Vice President and Chief Artificial Intelligence Officer at Eli Lilly, stated in a statement: "By embedding intelligence at every layer of our workflows, we are opening the door to a new type of business model: one that continuously learns, adapts, and self-improves through every data point. This is not just about speed; it is about large-scale exploration of biological laws, deepening our understanding of diseases, and translating these insights into meaningful medical advancements for humanity..."
This supercomputer will be the first NVIDIA DGX SuperPOD based on the Blackwell architecture, equipped with the DGX B300 system, powered by over 1,000 B300 graphics processing units (GPUs)

