IceRack is a thermal‑intelligent orchestration platform in active development that addresses the growing mismatch between AI/HPC power density and legacy, reactive cooling forecasting heat, placing workloads to avoid it, and adjusting cooling ahead of demand to protect performance and reduce energy use. By aligning IT scheduling with facility controls, IceRack advances the AI Defined Data Center vision with proactive, AI driven operations that improve efficiency and reliability at scale.
IceRack targets the core challenges of AI data centers volatile workloads, rising electricity costs, and cooling constraints by unifying predictive analytics for both compute and environment into one control plane for sustained throughput and lower risk. This approach builds on proven ADDC principles of virtualizing, visualizing, and optimizing resources with AI for sustainability and operational resilience .
Planned capabilities include a Thermal Intelligence Engine that learns from power, temperature, fan, and ambient telemetry to predict hot spots; a thermal aware scheduler that routes or migrates jobs away from risk zones; and a predictive cooling interface that coordinates CRAC, liquid loops, and fans to preempt overheating while conserving energy. The architecture emphasizes interoperability with DCIM/BMS and cooling APIs, supporting CPU/GPU dense racks, air and liquid cooling, and phased adoption alongside existing tools.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.