Apply for Access
Marlowe is available to all Stanford faculty for GPU-accelerated research. New PIs receive 5,000 free introductory GPU-hours.
Basic Access
5,000 free introductory GPU-hours for new PIs
- Basic Access is valid for one year
- Jobs may be preempted by higher-priority work
- Research Data Scientist consulting support
- 5,000 free GPU-hours for PIs new to Marlowe (one cycle)
Application must be completed by the faculty PI personally.
Medium Project
Up to 10,000 GPU-hours per cycle
- Project access is valid for one cycle (~12 weeks)
- Non-preemptible job scheduling
- Research Data Scientist partnership for scaling
Requires Basic Access first. See the Project Application Guide.
Large Project
10,000+ GPU-hours per cycle
- Project access is valid for one cycle (~12 weeks)
- Non-preemptible job scheduling
- Research Data Scientist partnership for scaling
- Scheduling coordination for large runs
Requires Basic Access first. See the Project Application Guide.
How It Works
Apply
Faculty PIs complete the Basic Access form. Most applications are processed within a few business days.
Onboard
Receive your Marlowe account, SSH access, and an introduction to the platform from the RDS team.
Compute
Submit jobs via Slurm, access the parallel filesystem, and start training at scale.
Scale
When you're ready for more, apply for a Medium or Large Project with your RDS partner.
Frequently Asked Questions
Who is eligible?
Marlowe is available to all Stanford faculty PIs conducting research that benefits from GPU-accelerated computing. Graduate students and postdocs can use the system under a faculty PI's allocation.
What does "recharge" mean?
Beyond the free Basic Access tier, GPU-hours are billed at Stanford's internal recharge rate. Costs are charged to your research account (PTA). See recharge rates for details.
How long does approval take?
All applications are reviewed on a rolling basis and typically processed within a few business days.
What if I need help getting started?
Every Marlowe PI is paired with a Research Data Scientist who can help with code optimization, multi-node scaling, and making the most of your allocation.