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AI inferencing data center infrastructure

Inferencing workloads increasingly need to run close to their users, not in a handful of metro data centers. NICPL's Tier-2/3 footprint puts low-latency, GPU-dense capacity where India's next wave of AI demand actually is.

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Hybrid-cooling headroom

The 25kW–135kW rack-density band is built for GPU-dense compute: direct-to-chip and closed-loop liquid cooling as standard, with immersion cooling provisioned for Built-to-Suit deployments at the top of the range.

OCP Ready™ v1 halls

Facilities are being built to OCP Ready v1 Data Center Site criteria, so open, vendor-neutral GPU rack designs drop in without facility rework.

Low WUE, even at high density

Zero-evaporative cooling keeps Water Usage Effectiveness under 0.05 L/kWh, so scaling GPU density doesn't come with a rising water footprint.

Partner-delivered GPU & inferencing

Non-exclusive partner services for customers who want managed GPU or inferencing capacity alongside — or instead of — colocated hardware.

No NICPL site currently holds OCP Ready™ certification — no site has been completed yet. OCP Ready™ is a trademark of the Open Compute Project Foundation, which is not affiliated with, and does not endorse, NICPL.

Built for the density curve, not against it

See the full rack-density and cooling detail on Campus Design, or the instant-edge 20ft/60kW containerized option for inferencing capacity that needs to be live in weeks, not months.