STTelemedia Global Data Centres: STT Pune 2
About STT Pune 2
STT Pune 2 is part of a significant data center campus operated by STT GDC in Pune, India's National Capital Region for technology. This campus, built since 2009, stands out for its strategic positioning and robust connectivity. STT Pune 2 complements the larger campus, which delivers high performance colocation services for enterprise, hyperscalers, and cloud clients.
⚙️ Facility Highlights
- Campus Power Scale: The Pune campus offers a total IT load capacity of 40 MW, with the ability to scale up to 140 MW across all facilities via a dedicated 220 kV substation handling up to 200 MVA.
- High Power Density: Designed to support high-density deployments with capabilities of up to 12 kW per rackwithout needing supplemental cooling.
- Advanced Reliability: The campus infrastructure includes robust N+1 redundant systems across power and HVAC, aiming toward 100% uptime in a Tier‑III equivalent, concurrently maintainable facility.
- Campus Synergy: STT Pune 2 is one of five co-located buildings within the campus, alongside Pune 1, 3, 4, and 5, enabling scalable and flexible deployments.
🔐 Security & Compliance
- Although not specific to Pune 2, the broader STT Pune campus adheres to rigorous standards:
- Tier‑3 design
- 5-layer, 24/7 security framework
- CCTV surveillance, biometric access, and advanced fire protection systems
- ISO 27001 and PCI DSS compliance
🌐 Connectivity & Carrier Access
- Carrier-Neutral: The campus offers wide-ranging, open-access interconnectivity for diverse telecom service providers.
- Network-Rich Ecosystem: Proximity to major hyperscale and edge data centers enhances strategic interconnection opportunities within a key IT corridor.
💼 Who It Serves
STT Pune 2—and the larger Pune campus—targets cloud platforms, hyperscalers, enterprises, and telecom operators seeking resilient, scalable colocation in Western India. Its high-density power, strong uptime, and connectivity strength make it particularly suitable for mission-critical and AI-friendly workloads.
