Scale AI with
Ready Available
4GW+ Capacity
Deploy high-density AI infrastructure across campuses with available capacity, scalable power, advanced liquid cooling and 2X faster delivery.
Your AI model can scale in weeks.
Infrastructure usually cannot
GPU availability is only one part of AI scale. There’s also high-density power, cooling, deployment timelines, local control and room for expansion to determine how quickly an AI platform can move from experimentation to commercial deployment.

Capacity Arrives Too Late
Conventional development cycles can delay new clusters, customers and revenue.

AI Density Changes Design
GPU environments require more power and cooling than conventional workloads.

Demand is Hard to Forecast
Infrastructure must support the first cluster and the next expansion.

Local Control Matters
Sovereignty, compliance and latency influence where AI workloads run.
Powering India’s AI Future
CtrlS is the operator of Asia’s largest network of Rated-4 datacenters, building GW-scale datacenter campuses across Hyderabad, Mumbai, Chennai, Bengaluru, Noida, Kolkata, Ahmedabad, Patna and other locations.
Powering India’s AI Future
CtrlS is the operator of Asia’s largest network of Rated-4 datacenters, building GW-scale datacenter campuses across Hyderabad, Mumbai, Chennai, Bengaluru, Noida, Kolkata, Ahmedabad, Patna and other locations.
Installed Capacity
Datacenters
In India
Planned Capacity
Scaling to 4GW+ of AI-Ready
Datacenter Infrastructure.
Scaling to 4GW+ of AI-Ready Datacenter Infrastructure.
Choose the campus and delivery model that matches your current deployment, future density and expansion plan.
Chandanvalley Datacenter
Campus
Built for immediate and long-term AI expansion
- 1.4 GW IT Load
- 1.2-1.32 Designed PUE Range
- 2X Speed of Delivery Execution
- AI-Ready with Liquid Cooling & Power Density
Pharmacity Datacenter
Campus
Grid-adjacent capacity for the next wave of AI infrastructure.
- 1.2 GW IT Load
- 1.2 – 1.32 Designed PUE range
- Grid Adjacent Beside Major Power Infrastructure
- Round-the-Clock Renewable Power Supply
Mumbai Datacenter
Largest datacenter campus in Financial Capital of India.
- 700MW IT Load
- Green Power Supported by GreenVolt Solar Farm
- Asia’s Largest GIS Substation – Scalable to 600MW
- LEED Platinum Certified Facilities
Ahmedabad Datacenter
Located in Gift City – The Fintech Capital of Western India.
- 9.2MW IT load
- Rated-4 Datacenter Facility
- Natural Disaster Proof
- AI-Ready Power & Cooling Infrastructure
Built for AI Density.
Adapted Before Deployment.

High-Density
Power
Power socket provision up to 100 kW per rack, with backend infrastructure designed to support up to 250 kW per rack.

Advanced
Cooling
Direct-to-chip, rack-water, liquid-assisted and immersion-cooling options.

AI Deployment Models
Training clusters, inference environments, private AI, sovereign workloads and dedicated NeoCloud capacity.

Operational Efficiency
Low-PUE campus design and cooling architecture built for dense environments.
Move From AI Roadmap to Live Capacity, Faster.
CtrlS brings design, engineering, power planning and project execution together under one team. This integrated model reduces handoffs, protects the programme schedule, and enables 2X faster delivery.
Reliable Partner to Leading Institutions
When It Comes to Reliability, Leading Brands Choose CtrlS.
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In The News
CtrlS Secures ₹7,000 Crore Commitment from CPP Investments
to Scale Datacenter Infrastructure in India.
CtrlS Secures ₹7,000 Crore Commitment from CPP Investments to Scale Datacenter Infrastructure in India.
Building a Sustainable
Foundation
for the Digital World
Building a Sustainable Foundation for the Digital World
GreenVolt – India’s first Captive Solar Farm.
- 1 GW Planned Renewable Power
- 100 MW Captive Solar Initiative
- Strategic Renewable Energy Partnerships
- Potential for Round-the-Clock Renewable Supply
- Low-PUE Campus Design
- Carbon-neutral Ambition by 2040
- 100% Renewable Energy Target for 2030
Your AI roadmap should not wait for infrastructure.
Tell us what you plan to deploy, when capacity is required and how you expect the environment to scale. Our AI infrastructure team will map the most suitable campus, density and delivery plan.