TelAve -- Reproducibility and Experiment Management for AI

Use case: Tracking model inputs, outputs, and environment dependencies for reproducible LLM experiments.

OpenAFS advantage:

• Immutable file volumes for each experiment or training run.
• Supports snapshotting, enabling rollback or "time travel" for past experiments.
• Facilitates structured archiving of experiments across teams.

Sine Nomine Associates has a long history going back over 25 years to the beginning of OpenAFS. Our team of experts helps many in several industries with repeat customer support services contracts.

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

Margarete Ziemer, CEO, emphasizes: "We are proud to say we continue to support the open-source community with a sharp focus on the mainframe, advanced technology workspace concepts 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/)