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Liquid Cooling Agent

Maximize GPU performance and tokens/watt efficiency

Phaidra’s Liquid Cooling Agent proactively stabilizes CDU performance during rapid AI workload spikes to reduce GPU throttling, improve cooling efficiency and unlock more revenue generating compute capacity.
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LCA
Problem

Traditional cooling systems react too slowly for synchronized AI workloads

AI workloads create rapid, synchronized power ramps that traditional temperature based control loops can’t respond fast enough. Operators compensate through aggressive sub-cooling, sacrificing efficiency and compute density.
Solution

Shift from reactive to proactive control

Phaidra uses real time rack power as a leading indicator to detect workload spikes before temperatures rise. The Agent proactively adjusts CDU setpoints in seconds to maintain thermal stability under volatile AI workloads.
Benefits

Designed to improve stability, operational efficiency and compute utilization

Prevent GPU thermal throttling

Maintain tighter thermal stability during rapid load changes to protect GPU performance and token throughput.

Reduce operational overhead

Continuously optimize CDU behavior without constant manual tuning or intervention.

Improve cooling efficiency

Safely operate at higher TCS temperatures, enabled by tighter thermal tolerances.

Increase usable compute capacity

Reduce overcooling and reclaim stranded power capacity for revenue-generating compute workloads.
Core capabilities

Built for better performance

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Proactive thermal response

Reduce control latency from minutes to seconds during rapid GPU load ramps.
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Improved cooling efficiency

Safely raise water temperatures to improve PUE without risking GPU performance.
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Self-learning Agent

Continuously adapt CDU behavior to changing workloads, hardware drift, and site conditions.
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Reduced operational burden

Eliminate constant manual tuning with autonomous optimization across liquid cooled environments.
Proof points

Validated under real AI workloads

Production testing with NVIDIA, CoreWeave, and Applied Digital.

75-80% reduction in thermal overshoot

Reduced 5-6°C spikes to ~1°C

Stable operation during rapid load ramps

AI agents for liquid cooled
AI factories

Read the white paper authored by Phaidra, NVIDIA, CoreWeave and Applied Digital to learn how to prevent GPU throttling and safely increase facility temperatures to drive more revenue-generating compute.
Download whitepaper