Compute limits capped labs at 1–2 targets/year. A shared 760-GPU cluster let one team screen 10M molecules in a week.
One of the largest research universities in the United States, anchoring a system of seven institutions with more than $1 billion in annual research expenditures across disciplines from drug discovery to climate modeling and engineering.
For years, researchers wrote grants to fund isolated clusters, waited months for national facility allocations, or queued on aging hardware that...
“I was watching years’ worth of struggle tick off in minutes. I had no problems. It was a dream.”
Public land-grant research university.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Texas A&M University's Drug discovery is part of this use case:
Related implementations across industries and use cases
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Medicinal chemists had no way into binding simulations—that was computational chemistry's territory. AI gave them a browser and a button.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Medicinal chemists had no way into binding simulations—that was computational chemistry's territory. AI gave them a browser and a button.
Physics simulations took weeks to screen libraries. Boltz-2 runs 1,000x faster, cutting this to hours with 2x precision.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.
Compute limits capped labs at 1–2 targets/year. A shared 760-GPU cluster let one team screen 10M molecules in a week.
One of the largest research universities in the United States, anchoring a system of seven institutions with more than $1 billion in annual research expenditures across disciplines from drug discovery to climate modeling and engineering.
For years, researchers wrote grants to fund isolated clusters, waited months for national facility allocations, or queued on aging hardware that...
“I was watching years’ worth of struggle tick off in minutes. I had no problems. It was a dream.”
Public land-grant research university.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Texas A&M University's Drug discovery is part of this use case:
Related implementations across industries and use cases
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Medicinal chemists had no way into binding simulations—that was computational chemistry's territory. AI gave them a browser and a button.
Siloed spreadsheets held back research for years. AI now scans 100M+ data points to guide wound care, cutting analysis cycles to weeks.
Medicinal chemists had no way into binding simulations—that was computational chemistry's territory. AI gave them a browser and a button.
Physics simulations took weeks to screen libraries. Boltz-2 runs 1,000x faster, cutting this to hours with 2x precision.
Consultative selling couldn't scale. AI now tags thousands of meeting recordings to targeted skills so managers can actively coach.
Agents juggling 8+ tools struggled to keep pace. Now, AI handles 35% of chats, letting the team resolve complex issues 58% faster.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Software updates were tied to rigid vehicle production cycles. A GenAI platform now frees 5,000 developers to release code independently.