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Data center capacity in India’s National Capital Region no longer gets measured in racks—it gets measured in megawatts. As GPU-dense AI workloads replace conventional compute, the 15 MW Noida Data Center threshold has become a defining benchmark for colocation providers serious about hosting large-scale training clusters, inference pipelines, and hyperscale tenancies in Delhi NCR.
Cyfuture Cloud’s Noida campus sits at the center of this shift. What began as a 3.0 MVA Tier III facility has evolved into a phased power expansion strategy, scaling from its existing 5 MW base toward the 15 MW range as part of a broader roadmap that ultimately targets 30 MW of AI-ready capacity across the campus.
This isn’t incremental growth. It’s a structural response to demand that’s outpacing supply across every major Indian metro.
Here’s the core driver: India’s data center market is scaling at a compound annual growth rate exceeding 18%, with total national capacity projected to reach 4.77 thousand MW by 2029 from an anticipated 2.01 thousand MW in 2024. Noida alone contributed meaningfully to a data center market that’s expected to surpass $8 billion USD by 2026, up from $1.9 billion USD in 2020.
That growth isn’t theoretical. It’s showing up directly in Cyfuture Cloud’s own build-out.

Cyfuture Cloud’s original Noida facility, located in the Noida Special Economic Zone, currently operates with 35,000 sqft of raised floor space and access to 5.0 MW of power. The base facility runs on a 3.0 MVA power capacity with a distributed redundant, concurrently maintainable UPS system for each server hall, an N+1 generator setup, and a 12 KL fuel tank capacity, all built to Tier III specifications guaranteeing 99.982% power uptime.
But the real story in 2026 is the next layer being added on top of that base.
Cyfuture Cloud has announced a new 10 MW direct-to-chip liquid-cooled AI data center in Noida, engineered specifically for GPU accelerators and NVIDIA’s next-generation Vera Rubin NVL72 platform, which requires 100% liquid cooling. This new facility is scheduled to go live on October 31, 2026, with anchor tenant reservations already open. Critically, the design includes whole-campus lease options with expansion rights to 30 MW across future phases—meaning the campus’s total addressable capacity is built to move through the 15 MW mark on its way to hyperscale territory.
For enterprises and AI teams evaluating Noida colocation today, this phased trajectory—5 MW live, 10 MW under construction, 15 MW as an interim capacity milestone, 30 MW as the long-term ceiling—signals a provider building ahead of demand rather than reacting to it.
For CTOs and infrastructure architects, rising power density changes procurement math entirely. A facility offering 15 MW-class capacity supports workloads that simply weren’t feasible in legacy colocation: multi-node GPU training clusters, high-throughput inference serving, and sovereign AI deployments requiring dedicated power allocations rather than shared, oversubscribed racks.
Cyfuture’s approach backs this with concrete numbers: the company reports 1,000+ data center projects completed, up to 40% project cost savings through tailored offerings, and 3,000+ experts working 24×7 across its facilities. On the Noida campus specifically, Cyfuture holds the number one rank in the Noida colocation market with each floor offering 10,000 sq. ft. of usable space—a positive data point that matters when evaluating vendor stability for multi-year AI infrastructure commitments.
Power capacity means little without redundant connectivity. Cyfuture’s Noida facility maintains carrier-neutral fiber-optic ring-based access from Tata Communications, Bharti Airtel, BSNL, and Vodafone, alongside a 220 kV on-site substation with dual feeders and 48 hours of UPS and diesel generator backup power. Compliance-wise, the facility carries HIPAA, ISO 27001, ISO 45001, ISO 9001, SOC 2, and SOC 2 Type 2 certifications, making it viable for regulated BFSI, healthcare, and government workloads that demand strict data residency and audit trails.
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