Catch up on Docker, Kubernetes, JupyterHub and more from recent sessions.
Shared research computing, run by the people who use it
The National Research Platform pools GPUs, petabyte-scale storage, and hosted open-weight AI models across more than 70 institutions. It is free to U.S. nonprofit research and education, funded by the National Science Foundation and governed by the community that contributes to it.
- 400+
- Nodes
- 70+
- Locations
- 3
- Continents
- 5K+
- Users
What you can do here
Artificial Intelligence
Modern GPUs, FPGAs, and specialized hardware for AI research, plus a catalog of hosted open-weight models you can call from your own code.
Resources for the classroom
GPUs, CPUs, and storage for educators, reachable through JupyterHub and Coder so students never have to touch Kubernetes.
Network experiments
Nodes distributed across 70+ sites on three continents make measurements possible that no single-site cluster can support.
Large data pools
Mount petabyte-scale S3 and Ceph storage from anywhere on the platform and use it directly in your workloads.
Distributed Infrastructure
A global network of research resources: shared compute, data, and services.
Events and cluster activity
7NRP workshop media is now available

Browse the agenda, slides, tutorial materials, and session recordings from the Seventh National Research Platform workshop at UC San Diego.
Live
Latest cluster news
Pulled from Nautilus Support chat. Join the channel for real-time updates.
From the NRP blog
View all posts →Recent events across the NRP and its collaborating projects.
Empowering AI-Enabled Research and Education: NRP Full-Day Tutorial at PEARC26
NRP presented a full-day hands-on tutorial at PEARC26 showcasing AI workflows, JupyterHub, LLM services, and agentic AI on Kubernetes.
Inference as a Medium: A UCSD Art Class Runs Its Ethical-Dilemma Final on NRP
For the final of VIS 145B at UC San Diego, instructor Jon Paden's students built interactive artworks on a single theme — ethical dilemma — each one wired to NRP's LLM inference gateway and deployed on NRP GitLab Pages.
DOE American Science Cloud experiments with NRP — ESnet tutorial at 7NRP
A recap of the DOE American Science Cloud (AmSC) tutorial that ESnet ran at the 7NRP workshop, covering the Genesis Mission context, the AmSC platform, and hands-on IRI Facility API work using NRP's training JupyterHub.
Seventh National Research Platform (7NRP) workshop at UC San Diego - Media
The media collected at 7NRP workshop
Frequently asked questions
What the NRP is, who can use it, and what it costs.
What is the difference between NRP and Nautilus?
The NRP is the platform and the community. Nautilus is the Kubernetes cluster the NRP runs on, and the name you will see in technical documentation and in the cluster tooling itself.
How much does it cost?
Nothing. We are funded by the U.S. National Science Foundation to provide free access to nonprofit research and education institutions.
Does my project fit here?
If your work is part of a scientific project or educational use at a U.S. nonprofit institution, yes. That includes community colleges, not just R1 universities.
What if I don't know Kubernetes?
You do not need it. Hosted JupyterHub, Coder, and our inference API require no Kubernetes knowledge. Our tutorials and bi-weekly office hours cover the rest.
Why NRP rather than a commercial cloud?
It is free to eligible institutions, it is governed by the research community that uses it, and its geographic distribution supports experiments that a single-region cloud cannot.
How can I help?
Contribute hardware to the cluster, or help by spreading the word. Contributors get priority on their own nodes whenever they want them.
What do I get if I contribute hardware?
Priority access to your own hardware whenever you need it. When your group is not using it, other NRP users get opportunistic access.
Do I have to administer hardware I contribute?
No. We install the OS, configure the node, and handle upgrades ourselves; we just need IPMI access. Occasionally we may ask you to reboot a node or swap a drive.
Start computing on the NRP
Bring your research to a platform built and governed by the people who use it.


