The Infrastructure built for AI
Neocloud and AI platform companies running high-density GPU workloads need more than conventional data center. They need purpose-built environments with advanced liquid cooling, scalable capacity, high-speed connectivity to support growing AI demands.
India’s first NVIDIA Certified for liquid cooling, Sify’s Data Center Campuses are engineered to support high-density AI workloads of 130+ kW/rack.
Ready to Deploy Pan India Capacity
Deploy GPU clusters instantly and expand modularly with Sify’s 15 DCs, 200+ MW operational and 10 upcoming hyperscale and edge DCs. 86+ MW of available capacity, scalable to 263+ MW across.
#NVIDIA Certified DGX ready for Air and Liquid Cooling
Capacity values are indicative and subject to availability, cooling methodology, and rack density requirements at the time of enquiry.
AI-Ready Data Center Architecture
Modular by Design
Flexible, multi-tower campuses built for seamless expansion.
Engineered for AI
130+ kW/rack capacity, 6.3m floor-to-ceiling height and 2,300 kg/m² load-bearing capacity.
Hyperconnected by Design
Low-latency, terabit-scale connectivity across IXs, ISPs, data centers and cable landing stations.
Redundant Power
Dedicated 220 kV substation, redundant power pathways and dynamic load tolerance for AI workload spikes.
Secure. Sustainable. Intelligent.
300+ MW of contracted green energy, 10-tier security and autonomous operations powered by a Global Command Control Center.
Ready to build your AI infrastructure? Schedule DC Visit with our experts.
Trusted by Global Enterprises India’s Top 7 banks, top 4 insurance, 4 hyperscalers, global social media, OTT, security players, and 500+ enterprises trust Sify Data Centers.
FAQs
Neocloud infrastructure refers to AI-first cloud environments designed to deliver high-performance GPU computing for AI model training, inference, and enterprise AI applications. Unlike traditional cloud infrastructure, neocloud platforms require high-density power, advanced cooling, low-latency networking, and scalable data center capacity to support AI workloads efficiently.
AI workloads demand significantly more power, cooling, and networking than conventional enterprise applications. AI-ready data centers are designed to support high-density GPU clusters, liquid cooling technologies, resilient connectivity, and rapid infrastructure expansion, enabling neocloud providers to deploy and scale AI services efficiently.
An AI-ready data center is purpose-built for the intensive power, cooling, and connectivity demands of GPU-based AI workloads. Unlike traditional data centers, it supports high-density racks, liquid cooling, low-latency networks, and modular capacity expansion. This enables Neocloud providers to deploy large GPU clusters faster, operate them reliably, and scale efficiently as AI demand grows.
Sify’s AI-ready data centers support high-density rack configurations designed for power-intensive GPU clusters and AI workloads. Rack density requirements can be tailored based on power availability, cooling design, hardware specifications, and deployment scale.
You should evaluate available power capacity, rack density, cooling capabilities, network connectivity, security, compliance, scalability, and deployment timelines. Infrastructure that supports modular expansion and AI-specific requirements helps organizations reduce deployment risks while preparing for future AI growth.
Yes. Sify’s AI-ready data center infrastructure supports liquid-cooling technologies required for high-density GPU environments. Cooling solutions can be planned around the cluster’s rack density, power consumption, and hardware requirements.
Sify supports AI infrastructure across its portfolio of hyperscale and edge data centers in India. With 15 operational data centers and 10 upcoming facilities, customers can identify suitable locations based on capacity, connectivity, latency, and expansion needs.
Sify provides AI-ready hyperscale data center campuses that enable NeoCloud providers to establish and expand infrastructure across India. With high-density power, liquid cooling readiness, carrier-neutral connectivity, and ready-to-deploy capacity, Sify helps accelerate market entry while supporting long-term AI growth.
India’s growing enterprise AI adoption, sovereign AI initiatives, expanding digital economy, and increasing demand for GPU compute are driving rapid growth in AI infrastructure requirements. This makes India an attractive market for neocloud providers looking to establish regional AI infrastructure and support next-generation digital services.
Sify helps NeoCloud providers enter and scale across India with AI-ready data centers, available capacity, high-density power, advanced cooling, and ecosystem connectivity. Its distributed footprint and modular expansion capabilities support faster deployment and long-term growth.
NeoCloud providers should assess available and scalable power, supported rack densities, cooling capabilities, network latency, carrier connectivity, security, compliance, deployment timelines, and expansion capacity. They should also evaluate whether the facility can accommodate evolving GPU technologies and future AI demand.
