Enhancing Power Management in Telecoms and Data Centers 

David McGuirk

14 July 2023

Enhancing Power Management in Telecoms and Data Centers Enabling P and C States, Predictive Modelling, and Automated Closed-Loop Control

Telecom providers and data center operators strive to optimise power management for energy efficiency, thermal control, scalability, and performance. Enabling P and C states on CPU power management and utilising predictive modelling, along with automated closed-loop control, are effective strategies. This article explores the benefits, drawbacks, and impact of QiO’s Foresight Optima DC+™, a power management solution exclusively available on Intel chipsets. It highlights the integration of these approaches to enhance power management.

Pros and Cons of Enabling P and C States

Enabling P and C states offers significant advantages. It improves energy efficiency by allowing CPUs to dynamically adjust power consumption, reducing costs and environmental impact. Lower power consumption aids in thermal management and extends hardware lifespan. Effective power management optimises scalability and capacity planning, while modern CPUs can boost performance when needed. However, challenges such as response latency and workload optimisation need to be addressed.

Utilising Predictive Modelling and Automated Closed-Loop Control for Power Management:

Based on historical data and machine learning techniques, predictive modelling proactively adjusts power states to minimise response latency, optimise workload selection, and effectively handle power state transitions. Furthermore, automated closed-loop control continuously monitors and adjusts power management parameters based on real-time feedback, ensuring optimal performance and efficiency.

The Impact of QiO’s Foresight Optima DC+™ on Intel Chipsets

QiO’s Foresight Optima DC+™ is a power management solution developed in collaboration with Intel. Exclusively available on Intel chipsets, it aims to reduce carbon emissions and energy consumption in CPU fleets. Intel has observed energy savings of up to 52% (idle) and 24% (representative workload) using DC+™, thanks to its sophisticated ML and AI algorithms. Tests by WWT have shown up to 29% energy reduction in dynamic workloads, validating the solution’s potential for energy optimisation.

Synergy and Conclusion

By combining the benefits of enabling P and C states, utilising predictive modelling, and implementing automated closed-loop control with QiO’s Foresight Optima DC+™ exclusively on Intel chipsets, can significantly enhance power management strategies. This holistic approach improves energy efficiency, thermal control, scalability, and performance while mitigating potential drawbacks. The collaboration between QiO Technologies and Intel underscores their commitment to sustainability. The impressive results achieved with DC+™ highlight its effectiveness in real-world scenarios.

In conclusion, integrating P and C states, predictive modelling, and automated closed-loop control with QiO’s Foresight Optima DC+™ exclusively on Intel chipsets offers a comprehensive solution for sustainable and energy-efficient data centers. Operators should evaluate these approaches to optimise power utilisation and enhance operational efficiency. The combination of innovative technologies and strategies, supported by Intel’s chipsets, drives the transition towards greener data centers.

If you’d like to understand the energy reduction ROI potential within your IT infrastructure, email me directly at David.Mcguirk@qio.io