About Marlowe
Marlowe is Stanford's first GPU-based computational instrument: 248 NVIDIA H100 GPUs powering frontier AI research across all seven schools, managed by Stanford Data Science.
GPU-Based Computational Instrument
Named after Philip Marlowe, the film noir detective, Marlowe is Stanford's first large-scale GPU computational instrument, designed to give faculty the infrastructure to train foundation models, run large-scale simulations, and pursue computational work at scales previously available only to industry.
A team of Research Data Scientists partners directly with faculty to optimize code, scale training across multiple nodes, and maximize the scientific return from every GPU-hour allocated.
- Partner with faculty to design and execute GPU-accelerated research
- Optimize training pipelines for multi-node scaling
- Integrate open science practices into computational research
- Provide technical consulting on model architecture and distributed training
| Technical Specifications | |
|---|---|
| GPU | 248x NVIDIA H100 80GB SXM5 |
| Nodes | 31 (8 GPUs per node) |
| CPU | 2x Intel Xeon Platinum 8480+ (112 cores/node) |
| Memory | 2 TB RAM per node |
| Interconnect | NVIDIA InfiniBand NDR (400 Gb/s) |
| Storage | 2.5 PB parallel filesystem |
| GPU Interconnect | NVLink + NVSwitch (intra-node) |
| Data Classification | Low & Moderate Risk |