Odisha is moving forward with a proposed ₹22,634 crore artificial intelligence infrastructure project by SentraForge AI, as demand grows for high-performance computing, cloud infrastructure and secure environments capable of supporting large-scale AI workloads.
The project centres on a proposed 120 MW sovereign AI campus in Odisha, designed to provide computing infrastructure for AI training, fine-tuning and inference, alongside cloud platforms, data services and managed AI capabilities. SentraForge AI says the project has received the requisite approvals from the Government of Odisha and has entered the execution phase, with detailed engineering, procurement mobilisation and service-readiness activities underway.
The proposal was cleared by the High-Level Clearance Authority (HLCA) at its 46th meeting. The development is intended to create infrastructure capable of handling the growing computing requirements of enterprises, institutions and other organisations deploying AI at scale.
A major infrastructure requirement behind AI growth
The expansion of AI applications is increasing demand for specialised infrastructure beyond conventional data centres. AI workloads require substantial computing capacity, continuous power availability, advanced cooling systems, high-speed connectivity and secure data environments.
SentraForge AI’s proposed campus is being developed around these requirements, with the company describing it as a purpose-built infrastructure platform for high-density AI compute and cloud services.
The company’s current project information lists 120 MW of planned campus capacity, with the facility progressing through engineering and delivery activities. SentraForge is targeting an initial campus-integrated service launch in mid-2027 and facility readiness by December 2027, although the company notes that these milestones remain subject to ongoing execution and applicable requirements.
The project is also being designed with a longer-term expansion pathway as AI computing requirements increase.
GVPR Engineers emerges as key financial and infrastructure partner
A central component of the project is the involvement of GVPR Engineers Limited, which SentraForge AI identifies as its strategic infrastructure partner, capital co-investor and anchor execution partner.
GVPR’s role brings together equity participation and large-scale infrastructure execution capabilities, while SentraForge AI is focused on the AI computing, cloud and sovereign-infrastructure layer of the development.
SentraForge currently states that ₹7,089 crore of equity capital has been committed, while full financial closure for the 120 MW capacity remains underway. This distinction is important because the proposed ₹22,634 crore project investment represents the overall planned investment rather than an indication that the entire amount has already been deployed.
The partnership is expected to combine infrastructure development expertise with the specialised requirements of AI data-centre operations.
Building an India-operated AI ecosystem
SentraForge AI’s project is positioned around the concept of sovereign AI infrastructure. The company says its objective is not limited to keeping data within Indian jurisdiction, but also to provide greater control over the computing infrastructure, cloud platforms and operational systems used to process sensitive workloads.
The proposed campus is intended to provide AI compute, managed AI platforms, sovereign cloud services and data services from an India-operated environment. Such infrastructure could support workloads from government and public-sector organisations, enterprises, research institutions and AI developers.
The company’s stated approach places emphasis on Indian legal ownership and operational control, with infrastructure designed for workloads where data governance, security and jurisdiction are important considerations.
Infrastructure extends beyond computing power
A large AI campus requires considerably more than servers and GPUs. Power distribution, cooling, networking, physical security and operational systems all form part of the underlying infrastructure.
SentraForge says the Odisha campus is being designed with direct-to-chip liquid cooling, resilient power and cooling systems, diverse network architecture and a target of Tier IV certification of design. The company also highlights connectivity through Odisha’s eastern-coast network infrastructure as part of the campus proposition.
The proposed campus is expected to occupy roughly 150 acres, according to the company’s published project information, and is being developed with infrastructure intended to support continuous AI workloads.
Odisha’s growing data-centre pipeline
The SentraForge proposal comes as Odisha seeks to attract large investments in data centres, AI and digital infrastructure.
The state has also cleared other major data-centre proposals, including projects involving AdaniConneX and HCLTech, adding to a broader investment pipeline in the state’s technology infrastructure sector.
For SentraForge, the Odisha campus is intended to serve as the physical foundation for an India-wide AI cloud and compute platform. The company says services from the Odisha base are intended to serve government, enterprise, research and developer workloads across the country.
From AI models to AI infrastructure
The project reflects a broader shift in the AI industry from simply developing models to building the infrastructure required to operate them at scale.
AI systems require computing resources throughout their lifecycle, from model training and fine-tuning to inference and day-to-day enterprise deployment. As organisations move AI applications from experimentation into production, reliable access to compute, cloud platforms, networking, power and cooling becomes increasingly important.
SentraForge AI is seeking to position its proposed Odisha campus around this infrastructure requirement, with GVPR providing capital and infrastructure execution capabilities alongside the company’s sovereign AI and cloud-services focus.
The project remains in the execution and financial-closure stages, meaning the final delivery of the planned infrastructure will depend on construction, procurement, financing and other implementation milestones.
Disclaimer: This report has been editorially prepared using publicly available information and official company disclosures. Readers are advised to refer to official company announcements/disclosures for further details.
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