# Gujarat Bets Rs. 6 Lakh Crore on Data Centres > Source: > Published: 2026-07-10 04:15:46+00:00 # Gujarat Bets Rs. 6 Lakh Crore on Data Centres Gujarat launched the Viksit Gujarat Data Centre Policy 2026-29 on July 9, 2026, targeting **Rs. 6 lakh crore** in investment and **7.5 GW** of data-centre capacity. The policy matters for AI and cloud teams because it treats power, land, water and incentives as one infrastructure package rather than a generic IT subsidy. Reports from The Hindu, PTI/YourStory and Times of India say the state is courting hyperscalers, especially around Dholera, with renewable-power requirements, power-tariff support and faster approvals. For practitioners, the open question is execution: whether the policy turns Gujarat into usable regional compute capacity or mainly a long pipeline of announced projects. The useful signal for AI and data teams is that Gujarat is trying to compete on the parts of compute infrastructure that usually slow model deployment: power availability, land, water and permitting. If the targets convert into buildable capacity, the state could become a meaningful regional option for cloud, colocation and AI-serving workloads rather than just another policy announcement. ### What happened Gujarat launched the Viksit Gujarat Data Centre Policy 2026-29 on July 9, 2026. The Hindu trigger source and PTI/YourStory report a first-phase investment target of Rs. 6 lakh crore, while Times of India and NDTV describe a 7.5 GW capacity target, incentives for large facilities and a focus on hyperscale operators. ### Technical context The policy is aimed at large data-centre projects, with incentives tied to minimum approved IT load, power subsidies, capital and interest support, tax reimbursements, faster clearances and Dholera-specific benefits. Reports also say at least 51% of core operational electricity must come from renewable sources, and that captive desalination support is part of the package, which matters because AI data centres are constrained by both power and cooling water. ### For practitioners The practical impact is not immediate GPU availability. The nearer-term takeaway is procurement and location planning: Indian cloud, AI and enterprise teams should watch whether hyperscale and colocation providers can turn policy incentives into low-latency capacity, resilient power contracts and compliant data-residency options outside the more established Mumbai, Chennai, Hyderabad and Bengaluru clusters. ### What to watch The next credibility test is signed capacity, grid access and project timelines, not just headline investment value. Dholera's role, the 150 MW eligibility threshold and the renewable-energy rule will determine whether smaller providers can participate or whether the policy mainly favors the largest hyperscale campuses. ## Key Points - 1Gujarat is pitching Dholera as a hyperscale data-centre cluster with a 7.5 GW state capacity target. - 2Incentives combine power subsidies, tax reimbursements, relaxed building norms and renewable-energy requirements for qualifying 150 MW projects. - 3Practitioners should watch whether promised capacity converts into reliable low-latency regional cloud and AI compute availability. ## Scoring Rationale A state policy targeting Rs. 6 lakh crore and 7.5 GW is notable for AI infrastructure because power, water and permitting are key constraints on regional compute buildout. The score stays below major global infrastructure announcements because current evidence is policy launch and investor interest, not completed capacity or committed hyperscaler deployments. ## Sources Public references used for this report. Practice interview problems based on real data 1,625 SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)