Hammerhead AI Announces Columbia University Research Collaboration on AI Factory Power Orchestration
1st article in the last 90 days, one of 2 articles referencing Hammerhead AI. Previous coverage: Decision Insights Directory Additions for early Fall 2025 (Nov 2025).
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Hammerhead AI said it started a research collaboration with Columbia University to study reinforcement-learning approaches for coordinating AI factory power orchestration. The work targets how such coordination can be carried out while operational and safety limits apply.
The collaboration aligns Hammerhead AI’s engineering and simulation experience with a Columbia research team led by Prof. Clifford Stein, Wai T. Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science. The parties planned to examine coordination of power, cooling, and compute in ways that respect operational, reliability, and safety requirements.
Hammerhead AI and Columbia proposed to study reinforcement learning together with simulation and control-policy evaluation. They said the methods would be formulated, simulated, tested, and evaluated under conditions that include operational and safety constraints.
The companies also described coordination across interconnected systems, including IT workloads, power infrastructure, and thermal management, along with site-level operating policies. “Power is increasingly a binding constraint on AI infrastructure, and the systems used to manage it must be rigorously evaluated before they are trusted in production environments,” said Rahul Kar, CEO and Founder of Hammerhead AI. “This collaboration with Columbia gives us the opportunity to formalize critical operational challenges, test new methods against realistic constraints, and advance the discipline of safe control for AI infrastructure.”
The collaboration aims to develop approaches for AI factories to use available power capacity more effectively while maintaining operator-defined controls and operating limits.
Press release, provided by Cision on behalf of Hammerhead AI. Read the original.