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
TrainingNRP Training Recordings

Catch up on Docker, Kubernetes, JupyterHub and more from recent sessions.

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

Seventh National Research Platform workshop at UC San Diego

Browse the agenda, slides, tutorial materials, and session recordings from the Seventh National Research Platform workshop at UC San Diego.

Live

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From the NRP blog

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Recent events across the NRP and its collaborating projects.

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.