inference layer.ai
Podcast cover image

Podcast

The Inference Layer

A new podcast covering the intricate systems, chips, and stacks that define the inference layer and the complexities of moving AI models from training to real-world deployment.

The Inference Layer podcast operates as a community-driven initiative, linking a diverse network of university labs, AI specialists, and supporting partners through a volunteer-led framework.

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Network

Inference Layer Network

A network of practitioners, researchers, and builders advancing the systems, architecture and code powering real‑world AI applications and improving interpretability, whose work we cover on the podcast

Labs and Institutional Collaborators

Labs and institutions referring guests to the podcast.

University of Pittsburgh Health and Explainable AI Research Laboratory

Volunteers

Volunteers involved in producing and advising the podcast

Brent Phillips, Producer of the University of Pittsburgh's Health and Explainable AI podcast
Molly Nagamuthu, Field CTO and Principal Architect at Databricks

Sponsors

Collaborators providing technical, intellectual, and other support

Princeton School of AI and SF Data Science Meetup Groups
WeAreDevelopers World Congress, the world’s leading event for developers
Aggregate Intellect, a community and workspace for AI developers and founders
DeveloperWeek, Developer & Engineering Conference + Expo
Trrby, AI-Powered Social Media Automation