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YEARS OF BUILDING DATA CENTERS IN INDIA

Introducing our new AI-ready hyperscale data center

Our AI-Ready Data Centers Across India

Sify is recognized as one of the best data center service providers in India. Sify Technologies operates AI-ready data centers in India with NVIDIA certified, advanced liquid cooling in Noida, Mumbai (Rabale), and Chennai.

Noida 02

Noida 02 – AI-Ready Data Center in North India
Capacity

Capacity

Scalable centers with built-to-suit options.

AI-Optimised

AI-Optimized

Supports NVIDIA DGX certification, advanced liquid cooling, and high-density racks.

Security

Security

AI-driven digital security framework.

Sustainability

Sustainability

IGBC Platinum-certified, with contracted green power and carbon-neutral roadmap.

AI-Optimised

Connectivity

Carrier-neutral with multiple fibre routes and access to hyperscalers and cloud on-ramps.

Mumbai 03 Rabale

Mumbai (Rabale) 03 – Best Hyperscale Data Center in West India
Capacity

Capacity

Hyperscale-ready with towers to support high IT power.

AI-Optimised

AI Workloads

With advanced liquid cooling for high-density AI infrastructure.

Strategic Location

Strategic Location

Close to Versova Cable Landing Station for ultra-low latency international connectivity.

Sustainability

Sustainability

IGBC Platinum certification and renewable power integration.

AI-Optimised

Connectivity

Carrier-neutral with multiple fibre routes and access to hyperscalers and cloud on-ramps.

Chennai 02

Secure & Scalable Data Center in South India
AI-Optimised

Capacity

Scalable campus at Siruseri, purpose-built for hyperscale and AI workloads.

Green Leadership

Green Leadership

IGBC Platinum-certified with strong focus on renewable energy and low PUE design.

Connectivity

Connectivity

Strategically located near CLS in Chennai, enabling global subsea cable access.

AI-Optimised

AI Readiness

Liquid cooling, redundant power systems, and NVIDIA DGX support for AI/ML training.

Security & Reliability

Security & Reliability

Backed by Sify’s 6-Zero commitment, including zero downtime and zero carbon footprint goals.

Sify Data Center Experience


RAS based design for future ready infrastructure


14 Data Centers, 227+ MW IT power, expanding to 407+ MW by 2025


Campuses scalable to 970+ MW with BTS capabilities


Enhanced 10 levels of security with automation


231 MW renewable energy contracted


AI/ML led operational excellence with 100% uptime


Hyperconnected, Carrier-neutral and Rich Interconnect ecosystem


Liquid and Air Cooling ready Data Centers, up to 200 KW power/rack

Sify data center footprint
across India

Slide Operational​ In development​​
Planning

Mumbai data centers

Sify’s Rabale hyperscale data center campus is designed for up to 377+ MW IT capacity. The expandable mega campus, located at Navi Mumbai, is designed for 12 towers of which five are currently operational. Sify’s Rabale campus also offers customers built-to-suit (BTS) options to customize and design a data center facility to meet their specific needs.

Airoli - Sify’s data center in Airoli is designed with an IT power capacity of 5.4 MW. The data center interconnects with Sify’s Rabale data center and allows access to hyperscale public clouds on very low to sub-millisecond latency.

Vashi - Sify’s data center in Vashi, Navi Mumbai, is India’s first commercial data center. It is designed with an IT power capacity of 0.9 MW. The carrier-neutral facility has dual meet-me rooms and multiple telecom service providers and internet exchanges delivering a redundant and robust telecom network to customers.

Bengaluru Data Center

Bengaluru 01 - Sify’s data center in Bengaluru has 7.6 MW IT power capacity. The strategic position of this data center enables organizations from the IT/ITeS, Startup, BFSI, Manufacturing, Healthcare and Pharma sectors to run their business-critical applications seamlessly.

Bengaluru 02 - Sify’s data center campus in Aerospace Park, Bengaluru, is designed for up to 40+ MW of IT power. The strategic position of this data center enables organizations from the IT/ITeS, Startup, BFSI, Manufacturing, Healthcare and Pharma sectors to run their business-critical applications seamlessly.

Hyderabad Data Center

Hyderabad 01 - Sify’s data center in Hyderabad has 14.4 MW of IT power capacity. The strategic position of this data center enables hyperscalers, and organizations from the OTT, Healthcare and Pharma, BFSI, and Manufacturing sectors to run their business-critical applications.

Hyderabad 02 - Sify’s Hyderabad 02 data center campus in Fab City is designed for up to 250+ MW IT capacity. The region has dense fiber deployment from various providers, enabling high-capacity, low-latency, and resilient network access across distributed data center sites.

Chennai Data Center

Chennai 01 - Sify’s data center in Chennai’s Tidel Park has a 3.6 MW IT power capacity. A new campus of three towers at Siruseri, Chennai, will be operational soon, adding up to 130+ MW of total IT power capacity. The strategic position of this data center enables organizations from the Manufacturing, IT/ITeS, BFSI, Healthcare and Pharma sectors to run their business-critical applications.

Chennai 02 - Sify’s new hyperscale data center campus in Siruseri, Chennai, is designed for up to 130+ MW IT power capacity, with dense fiber deployment from various providers, enabling a high-capacity, low-latency, and resilient network access across distributed data center sites. The campus is strategically located close to business parks to serve the nearby IT hub and is well-connected via rail, air, and road.

Kolkata Data Center

Kolkata

Kolkata - Sify’s data center in Kolkata has a 2.2 MW IT power capacity. The strategic position of this data center enables organizations from the BFSI, Manufacturing, Government PSU, and IT/ITeS sectors to run their business-critical applications.

Noida Data Center

Noida 01 - Sify’s data center in Noida has 10.8 MW IT power capacity. The strategic position of this data center enables hyperscalers and organizations from the OTT, BFSI, Manufacturing, Media & Entertainment, Healthcare and Pharma sectors, to run their business-critical applications.

Noida 02 - Noida 02 is Sify's second hyperscale data center campus in Delhi NCR, with a total IT power capacity of 130+ MW and a dedicated on-premise 220KV substation for high availability. Noida 01 and Noida 02 will be interconnected campuses through 4 diverse fiber paths, which will provide direct connectivity to hyperscalers, OTT players and cloud connect nodes.

Our service offerings

colocation services

Colocation Services
From the single cabinet to Multi Megawatt capacity deployment. Built to Suit Data Centers. Pay as per power usage.

built to suit

Built-to-suit data centers
Customize and design a robust data center facility to meet your specific needs.

green data center

Green data centers
A carbon-neutral green data center provider that implements sustainable and renewable energy solutions.

Datacenter Interconnect

Data Center InterConnect
Integrate your data centers seamlessly into the virtual campus with a pre-built 10G ethernet.

Your Trusted Data Center Partner

Customer success stories

Hear from Our Customers

Take a Virtual Tour of our Data Centers

Industry Insights

Webinars

Empowering Digital Transformation: The Role of Future-Ready Datacenters in Accelerating Innovation and Growth

Gartner Peer Insights

Data Center Outsourcing and Hybrid Infrastructure Managed Services

FAQs

Sify’s AI-ready hyperscale data centers are designed to support advanced computing needs for AI/ML workloads, with high IT power capacity, scalable infrastructure, and enhanced cooling solutions.

Sify is India’s first NVIDIA DGX-Ready Data Center provider, offering hyperscale expansion, 6-Zero reliability, and AI-ready infrastructure.

Sify operates in Noida, Mumbai (Rabale), and Chennai, with additional campuses in Bengaluru, Hyderabad, and Kolkata, plus 20+ edge sites.

Sify offers colocation, built-to-suit infrastructure, green data centers, GPU pay-per-use colocation, and AI/ML-enabled managed services.

AI-ready data centers enable enterprises to scale AI workloads, reduce latency, improve efficiency, and ensure future growth.