Sify’s AI- Ready Data Centers: Scalable, Smarter, Greener, and More Resilient

Roopesh Kumar
Head- Data Center Projects, Sify Technologies Ltd

At Sify’s data centers, we look at AI from two perspectives. Firstly, to enable enterprises to host dense AI workloads which needs scalable, purpose-built infrastructure, robust power supply tolerant to dynamic load variations, modern cooling methodologies like liquid immersion and high capacity low latency network connectivity. Secondly, how can we incorporate AI in our Data Center Operations for enhanced automation, efficiency, and sustainability to eventually serve our customer better.
Beyond the obvious, AI optimizes energy use, dynamically adjusts cooling, and distributes workloads to reduce costs and extend infrastructure lifespan. AI-driven predictive maintenance prevents downtime, while digital twin technology enables informed decision-making. These innovations ensure a scalable, smarter, greener, and more resilient data center ecosystem.

Leveraging AI: Automation, Operational efficiency and Cooling Solutions
Managing the heat output efficiently is critical in the DC. Besides direct-to-chip, liquid immersion cooling technologies, we have implemented enhanced thermal management and lower energy costs. Edge & Distributed AI Computing minimizes latency by processing data closer to the source and optimizing performance. Sustainability initiatives include energy partnerships and AI-driven workload scheduling. Scalable & Modular Infrastructure enables seamless expansion using a POD-based model, ensuring adaptability to growing demands. Our AI-powered cooling solutions enhance efficiency and performance. AI-Driven Dynamic Cooling adjusts systems in real time using sensor data, optimizing energy use. Liquid Cooling with AI Optimization regulates coolant flow for high-density workloads, ensuring efficient heat dissipation and proactive failure prevention. Smart Airflow modifies fan speeds and optimizes airflow using Computational Fluid Dynamics (CFD). These innovations enable a more energy-efficient, resilient, and cost-effective DC environment.

AI enhanced cybersecurity measures
Our DCs leverage AI-driven security for enhanced threat detection, response, and risk mitigation, analysing network traffic in real time, detecting anomalies and zero-day vulnerabilities. Automated incident response isolates threats instantly, predictive intelligence pre-empts cyberattacks, and behavioral analytics detect insider threats.
 
Sify data centers- Competitive edge
Sify is making bold moves in AI-driven infrastructure with a $5 billion commit. Scaling its data center footprint, integrating AIOps, and acquiring GPUs, Sify’s AI-workload ready hyperscale data center campuses are spread across Noida, Mumbai, and Chennai. As an NVIDIA colocation partner, it has secured liquid cooling certification for GPUs up to 130kW per rack. Expanding beyond metros, Sify is launching AI inferencing facilities in Tier-II cities starting with Lucknow. On its commitment to sustainability, Sify has already contracted for 231 MW renewable energy, reinforcing its leadership to sustainable AI-driven infrastructure.