Executive Summary: AI-Driven Efficiency and Savings

In the energy-intensive world of data centers, reducing power usage without compromising service quality is critical. Sify Infinit Spaces Limited (SISL), a subsidiary of Sify Technologies—a Fortune 500 ICT services company—offers Data Center and Colocation Services and has experienced significant growth over the past several years through global client acquisition and the expansion of its data infrastructure. During this growth, the focus has remained on delivering client value and maintaining rigorous adherence to service-level agreements for colocation clients. Operating data centers in an energy-efficient manner is crucial, as power costs represent one of the most significant operational expenses. Sify is continuously exploring ways to optimize its Power Usage Effectiveness (PUE) to achieve more energy-efficient and cost-effective operations.

By leveraging Aizen to integrate an AI-powered predictive solution into their existing data center infrastructure, Sify transformed its power utilization efficiency (PUE) optimization processes. This shift eliminated tedious manual workflows, reduced energy costs by up to 10%, and ensured seamless compliance with customer service agreements and environmental standards.

About Sify Technologies

As one of India’s leading ICT services providers, Sify currently operates 14 state-of-the-art data centers and continues to expand, with more facilities under construction. It also manages the largest MPLS network in the country. By offering a wide array of cloud, colocation, and IT solutions, Sify enables businesses to scale efficiently while meeting global standards for performance and sustainability.

With a commitment to innovation, Sify consistently invests in advanced technologies to optimize operations and deliver unparalleled service quality, ensuring they remain a leader in the competitive data center industry.

Challenge: Scaling Operations While Cutting Energy Costs

Operating data centers at scale involves managing a range of infrastructure, including chillers, pumps, air handlers, and humidifiers. Monitoring and optimizing these systems to achieve the best power utilization efficiency (PUE) is a complex task.

Sify’s operational challenges included:

• Manual Optimization: Processes relied heavily on trial-and-error adjustments made by operators using building management system (BMS) software.
• Risk of Downtime: Operational errors from manual workflows introduced risks of prolonged outages, potentially violating customer service agreements.
• Resource Constraints: The growing data center footprint demanded a scalable solution without overwhelming existing resources.

Sify required a robust, real-time solution to automate PUE optimization, enhance operational reliability, and improve efficiency.

Solution: Real-Time AI Predictions with Aizen

Sify selected Aizen to digitize operational workflows and optimize their data center infrastructure with real-time AI predictions. The solution was seamlessly integrated into Sify’s existing systems, requiring no significant reconfiguration or downtime.

Key Features of the Solution:

1. On-Site Deployment: Aizen was deployed on Sify Cloud Services’ platform—CloudInfinit Kubernetes cluster—to process real-time data streams directly at the point of performance.
2. IoT Sensor Integration: Real-time data from IoT sensors and historical data from BMS software were used to train predictive AI models.
3. UI-Based Workflows: Aizen allowed Sify’s data engineers to leverage UI widget-based workflows, eliminating the need for specialized AI expertise.
4. Predictive PUE Optimization: AI-generated PUE predictions provided actionable insights for real-time adjustments, enhancing cooling efficiency and energy management.
5. Seamless Integration: The solution integrated directly into existing BMS dashboards, ensuring the operations team could access predictions without additional training or system replacements.

Results: Measurable Impact on Efficiency and Costs

The implementation of Aizen delivered significant results for Sify’s data center operations:

• Energy Cost Reduction: Improved PUE optimization led to significant operational efficiencies and multi-million-dollar savings.
• Streamlined Workflows: Automated optimization eliminated manual trial-and-error processes, reducing errors and operational risks.
• Enhanced Capacity: Improved energy efficiency supported the scaling of operations without compromising service quality.
• Rapid Deployment: The solution was fully deployed in just six weeks with zero operational disruptions.

Empower Intelligent Operations with Aizen

Aizen revolutionizes data center management with real-time AI predictions, empowering organizations to optimize energy usage, enhance reliability, and achieve sustainability goals without disrupting existing operations. Let Aizen help you scale your infrastructure efficiently and unlock the full potential of your data-driven insights.