CAIS Project

Compute Cluster

The Center for AI Safety is providing compute resources for ML safety research.

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Our Research

What is the CAIS Compute Cluster?

The Center for AI Safety is launching an initiative to provide free compute support for research projects in ML safety.

CAIS set up a compute cluster specifically for ML safety applications
256x A-100 GPUs with 80GB memory
1,600 Gbit/s inter-node network speeds.

We are launching an open application for free access to our compute cluster to provide compute support to the broader ML safety community. We hope that this initiative enables researchers to pursue novel lines of research which would be otherwise infeasible to pursue.

Compute Cluster Application

Any questions can be directed to contact@safe.ai

Our Collaborators

We work with and support leading experts in a diverse range of ML safety research directions.

Matthias Hein

Professor of Computer Science, University of Tübingen

Scott Niekum

Associate Professor of Computer Science, University of Massachusetts Amherst

David Wagner

Professor of Computer Science, University of California, Berkeley

David Bau

Assistant Professor of Computer Science, Northeastern Khoury College

Who is Eligible for Access?

The CAIS Compute Cluster is specifically designed for researchers who are working on the safety of machine learning systems. Work which improves general capabilities or work that improves safety as a consequence of improving general capabilities are not in scope.
For a non-exhaustive list of topics we are excited about, see Unsolved Problems in ML Safety or the ML Safety Course.
When evaluating applications, the Center for AI Safety will also consider the applicant's past research contributions. Applicants who have a strong history of publishing impactful and influential work are more likely to be accepted.

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