OpenAFS: AI Use Case 3 Multi-institution AI collaborations (e.g., universities or research labs)

Rezul -- Federated or Multi-Site AI Research

Use case: Multi-institution AI collaborations (e.g., universities or research labs) need a way to share large models or datasets across administrative domains securely.

OpenAFS advantage:

Provides site-independent global namespace — data at multiple sites appears in one logical filesystem.

Supports cross-realm authentication, making it ideal for multi-organization AI research.

Can serve as a lightweight alternative to cloud object stores where bandwidth is constrained or security rules restrict cloud use.

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Sine Nomine Associates has a long history going back over 25 years to the beginning of OpenAFS. Our team of experts help many in the upper echelon of educational facilities including Ivy league universities and research facilities with support services contracts.

Our in-house team includes two of the maintainers for the OpenAFS open-source code. Our unique capabilities have kept OpenAFS up to date with modern tools such as ansible.

Margarete Ziemer, CEO, emphasizes: "We are proud to say we continue to support the open-source community with a sharp focus on the mainframe and OpenAFS areas. We sincerely thank all our past and current customers and our associates. We are always ready to tackle your problems with custom solutions, particularly in the open-source space."

For more information on Sine Nomine Associates and their products, please visit our website.
https://sinenomine.net (https://sinenomine.net/index.php/openafs/)