Marlowe Enables Next-Gen AI and Data-Driven Discovery at Scale
248 NVIDIA H100 GPUs across all seven Stanford schools along with a team to help accelerate science — a shared computational instrument for the research that wasn't possible before.
Stanford Oval · aerial
Events
Researcher spotlight
Dan YaminsDan Yamins on training brain-scale neural networks on Marlowe.
Validated 80-billion-parameter brain-inspired neural network training on Marlowe, then launched PSI2-30B — a counterfactual world model — in the first hero run on the system, across 24 nodes.
Associate Professor of Psychology and Computer Science
From the lab
ToliasThe Enigma Project: First Foundation Model and Digital Twin of the Brain
Trained the first foundation model of mammalian visual cortex on Marlowe — a 2B-parameter multimodal transformer on recordings from 3 million neurons across 330 mice, establishing the first-ever scaling laws for neuroscience.
Armeni4D scene understanding for dynamic real-world environments
LeskovecThe AI Virtual Cell: genomic foundation models at frontier scale
HieBeyond Evo 2: next-generation DNA language models
WetzsteinVideo world models for 3D scene understanding and generation
Marlowe on film
Marlowe: Compute for Discovery
From access request to first Marlowe job.
Faculty PIs sponsor accounts; postdocs and students may be flexibly added. New PIs start with 5,000 free GPU-hours.
- PI submits a sponsorship formA short statement of research area and expected GPU-hours.
- Marlowe Team provisions your accountTypically within a week of submission.
- PI receives an onboarding email from the Marlowe teamSlurm, storage, and first-job workflow.
- Submit your first jobThe Marlowe team helps troubleshoot first-job issues and early workflow questions.
Onboarding & training
Workshops and seminars run throughout the year — see what's coming up above, and find recordings and step-by-step guides in the documentation.