UP.AIACT.IN
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28 Stakeholders. 4 Editors. 10 Sectors. 1 Uttar Pradesh.
India's first AI Transformation Report and Matrix on the State of Uttar Pradesh, India
The AI Transformation Matrix: Problem Statements
Powered by AIACT.IN, the matrix offers a consolidated version of 77 distinct recommendations in the form of "Sectoral Playbooks" from the UP.AIACT.IN Report 2026.
Private Data Centre Operation, Resource Planning
Problem Statement
Traditional data centre planning treats water and cooling infrastructure as an afterthought, exposing inland states to severe structural failure since landlocked geographies cannot replicate coastal mitigation strategies like municipal desalination plants.
What is the plausible risk of ignoring the Problem Statement?
Failing to enforce strict landlocked water constraints, resulting in severe competition with regional agricultural or municipal freshwater allocations.
Here's what the UP.AIACT.IN Report 2026 Recommends.
Actively invite private data centre operators to establish facilities in identified UP zones, providing state offered incentives including dedicated power infrastructure access, land allocation at UPSIDA rates, and single window clearance. Study the cautionary Vizag precedent where Google's original 1 GW hyperscale data centre design was forced into a total cooling redesign to switch to air based cooling after its water based evaporative cooling proposed to consume between 7 and 19 million litres of freshwater per day.
What can the UP Government consider as a Policy Mandate based on our specific Recommendation?
The state must treat water and cooling infrastructure as a first order planning constraint and embed a mandatory Water Usage Effectiveness standard of 0.36 to 0.48 L/kWh for all data centres above a defined capacity threshold as a publicly disclosed performance obligation.
What's the AI Intervention Layer in this Recommendation?
Deployment of non negotiable WUE performance baselines within the single window clearance mechanism, requiring live compliance publishing within the first operational year.
Here's how our stakeholders measured impact of our specific Recommendation.
Compliance data is published transparently on the UP government database within the first operational year, ensuring that data centre scale does not deplete regional water security.
What can be some possible Economic Spillover if our Recommendation is implemented?
Direct protection of public utility infrastructure by shifting resource optimization and cooling technology costs entirely onto the private operators.
In which Chapter of the UP.AIACT.IN Report 2026 can you find this recommendation?
Chapter 7