Eli Lilly built pharma's most powerful AI supercomputer. It simulates billions of molecules.
LillyPod — 1,016 GPUs, 9,000+ petaflops — aims to cut the typical 10-year drug development timeline in half.
Eli Lilly inaugurated LillyPod, built on 1,016 Blackwell Ultra GPUs delivering over 9,000 petaflops. Where traditional labs test roughly 2,000 molecular hypotheses per year, LillyPod simulates billions in parallel.
The computational approach to drug discovery is not new. The scale is. Simulating billions of molecular interactions moves research from hypothesis-driven to brute-force — testing every possibility.
When drug companies build their own supercomputers, The Optimisation Obsession has reached its most consequential application: optimising the medicine that enters the body.
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SO WHAT?
Watch pharmaceutical AI infrastructure investments as a leading indicator for health breakthroughs in 3-5 years. The drugs being simulated today are the treatments your audience will ask about tomorrow.
Watch pharmaceutical AI infrastructure investments as a leading indicator for health breakthroughs in 3-5 years. The drugs being simulated today are the treatments your audience will ask about tomorrow.
Source: Crescendo AI