NDIF is now available — free remote access to large-scale AI models for research.Get started →

Get Involved

Join a growing community of researchers and students working to understand, interpret, and improve large-scale AI models.

Ways to Get Involved

Join our community of early adopters

Our Discord server hosts students and researchers from many fields who are dissecting the behavior and mechanisms of large AI models.

Join the community

Use our open-source library, NNsight

NNsight can be used with NDIF and it can also be used with your own local computational power independently of the fabric. It works with PyTorch and can be easily installed via pip.

Learn about NNsight

Join our team

We are looking for talented and motivated team members who are inspired to create a vibrant scientific community to crack the mysteries of large-scale AI.

See opportunities

Contribute to open source

The NDIF project code is open-source. Contribute code, report issues, or improve the documentation.

View on GitHub

Workshops & Training

An NDIF workshop for undergraduate and graduate students, using NDIF to explore state-of-the-art methods for performing interventions on the internal computations of large language models. NDIF enables students and scientists to share GPU resources to learn, develop, and deploy scientific methods that crack open the internals of large neural networks.

NDIF workshop for students and researchers

Jobs and Community Opportunities

We don't currently have any open roles, but please check back later for future job openings.

We anticipate hiring for the following roles in the future: Student research assistants and Student co-ops. We also welcome research collaborators and unpaid open-source contributors; for open-source community opportunities, get in touch through our community Discord.