Hammerhead AI Teams with Columbia University for AI Infrastructure Research

Hammerhead AI, a company that optimizes power usage in AI infrastructure, has announced a research collaboration with Columbia University. The partnership aims to explore reinforcement learning methods for managing power, cooling, and compute within operational and safety limits.

According to the press release, Hammerhead AI will work alongside a research team led by Professor Clifford Stein, a Wai T. Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science at Columbia University. The collaboration will leverage Hammerhead AI’s engineering and simulation expertise to develop methods for coordinating power, cooling, and compute resources more effectively.

Rahul Kar, CEO and Founder of Hammerhead AI, emphasized the importance of power management in AI infrastructure.

The research will focus on how reinforcement learning, simulation, and control-policy evaluation can help coordinate power, cooling, and compute resources while respecting operational, reliability, and safety requirements. This is particularly relevant as AI demand grows, and access to timely power capacity becomes a significant constraint on new deployments. In many U.S. markets, grid interconnection and power-delivery timelines can extend for years, making efficient use of existing capacity more valuable than ever.

Addressing this challenge requires coordination across interconnected systems, including IT workloads, power infrastructure, thermal management, and site-level operating policies. These systems have competing objectives and hard constraints, such as equipment limits, reliability requirements, and safety boundaries. The research collaboration will explore how reinforcement-learning methods can be formulated, simulated, tested, and evaluated under these conditions.

Hammerhead AI’s software platform, ORCA, orchestrates power, cooling, and compute to unlock at least 30% more capacity from existing infrastructure. Founded by veterans who have managed over 8 GW of mission-critical assets, Hammerhead AI is backed by leading investors, including Buoyant Ventures and SE Ventures.

This collaboration is part of Hammerhead AI’s ongoing efforts to optimize AI infrastructure and ensure that data center operators can convert underutilized assets into new AI revenue. By working with Columbia University, Hammerhead AI aims to advance the field of safe control for AI infrastructure and provide more efficient solutions for managing power and compute resources.