Ultra-low-latency infrastructure positioned close to where your data is generated — built for AI, IoT, and real-time applications.
Edge Colocation places compute and storage physically closer to the source of your data — factory floors, retail sites, and regional user bases — cutting the round-trip time that centralized cloud regions can't avoid. Our Ankleshwar and Indore facilities are designed as regional edge points for Gujarat and Central India's industrial and commercial corridors.
Compact colocation footprints — from partial racks to a few kW — for regional deployments that don't need a full suite.
How It WorksWe allocate a small, right-sized footprint (partial rack up to a few kW) rather than requiring a minimum full-rack commitment.
Your equipment is installed within our standard modular design, benefiting from the same power, cooling, and security as our larger tenants.
Connectivity and monitoring are provisioned to match a smaller-scale deployment.
You can expand the footprint incrementally as regional demand grows.
| Footprint | Partial rack to a few kW |
| Scaling | Incremental expansion as needed |
| Facilities | Ankleshwar (ANK-1), Indore (IND-1) |
| Fit | Regional deployments, branch/retail infrastructure |
Edge compute positioned to minimize round-trip time for AI inference, industrial IoT, and sensor-driven workloads.
How It WorksCompute is deployed at our edge facilities, physically closer to your industrial sites or regional user base than a centralized cloud region.
This reduces network round-trip time for latency-sensitive AI inference and IoT telemetry processing.
High-density rack configurations (2–2.5 kW per rack) support GPU or accelerator-equipped hardware where needed.
Data can be pre-processed at the edge before selectively syncing to central cloud or on-premise systems.
| Rack density | 2–2.5 kW per rack (higher on request) |
| Latency benefit | Reduced round-trip vs. centralized cloud regions |
| Hardware support | GPU/accelerator-ready configurations available |
| Fit | AI inference, industrial IoT, sensor networks |
Edge infrastructure positioned to support 5G-adjacent and multi-access edge computing use cases as regional networks mature.
How It WorksWe provide colocation footprint and connectivity suited to hosting MEC application servers close to regional network infrastructure.
Carrier-neutral connectivity (Section: Interconnection) allows integration with multiple telecom partners.
Low-latency positioning supports use cases like real-time analytics, AR/VR back-end processing, and connected-vehicle applications as they develop regionally.
Capacity can be reserved ahead of rollout and scaled as adoption grows.
| Positioning | Regional edge, close to Gujarat/Central India network infrastructure |
| Connectivity | Carrier-neutral, multi-telecom capable |
| Fit | MEC applications, connected-vehicle, AR/VR backends |
| Scaling | Reserved capacity, incremental rollout |
Get a tailored quote or see live pricing for the options above.
