Carnegie Mellon University — Computer Science Department
Group members visiting the Space Shuttle Atlantis
Group members sharing a meal around a restaurant table
Presenting research on datacenter power and GPU efficiency
Three group members together at a conference
Group members at FCRC 2023
A group member playing indoor miniature golf
Presenting LithOS at SOSP 2025
Group members at ISCA 2024 in Buenos Aires
Five group members together in front of the lab windows
Presenting Cinnamon at ASPLOS 2025
A group member at the MLSys conference
The group together in front of the Steel City mural

Rethinking the efficiency and privacy of AI datacenters.

AI’s growing demands for energy and data pose urgent challenges for efficiency and privacy. We rethink the foundations of AI datacenters, bridging operating systems, hardware, and privacy to unlock orders-of-magnitude gains in energy efficiency while protecting data at scale. We turn fundamental advances into real-world impact.

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