Unlocking AI Performance and Efficiency with Federator.ai GPU Booster and Smart Liquid Cooling

The rapid growth of artificial intelligence (AI) and machine learning (ML) applications, especially those leveraging large language models (LLMs), is fueling unprecedented demand for high-performance GPU computing. Cutting-edge GPUs like the H100, B100 and GB200 from NVIDIA deliver the massive computational power needed to train LLMs and run other AI workloads like inference, scientific simulations, data analysis, image, video and audio generation, natural language processing, and more—but they also introduce substantial challenges regarding GPU costs and thermal management. Traditional air cooling often fails to meet the demands of such high-density environments.

Federator.ai GPU Booster and Smart Liquid Cooling from ProphetStor directly address these challenges by offering dynamic GPU resource allocation and real-time thermal management. GPU Booster uses AI-driven insights to optimally distribute GPU resources and manage multi-tenant workloads. At the same time, Smart Liquid Cooling adaptively controls coolant flow and temperature to ensure peak performance and reduce cooling power consumption (which accounts for up to 40% of the AI data center power consumption) by up to 30%. This improved efficiency not only minimizes energy waste but also enhances overall GPU performance—ensuring that every compute cycle is maximized, enabling faster, more reliable AI workload performance—with the longer-term benefit of prolonging GPU life.

Together, these solutions form a comprehensive optimization framework for high-density GPU clusters running compute- and thermal-intensive AI/ML workloads.