Gcore Explores 100 MW Kazakhstan AI Data Center With TengriAI

Gcore said in its announcement on November 12, 2026 that it and TengriAI had signed a memorandum of understanding to explore a GPU data center in Kazakhstan with target capacity of up to 100 megawatts (MW), phased between 2027 and 2029. The agreement is exploratory and does not represent a final construction commitment.

The companies say Central Asia has little domestic AI compute, leaving organizations dependent on capacity in Europe, the Gulf or East Asia, often outside their regulatory jurisdiction. “The project would put large-scale GPU infrastructure in the country, operated from the country, for customers across the region,” said Gcore CEO Andre Reitenbach.

How the Partners Would Divide the Work

Under the MoU, TengriAI would handle land, power, permitting and construction. Gcore would provide the AI cloud stack, operations and customer demand, using the same platform it runs in its own GPU clouds as an NVIDIA Preferred Cloud Partner. The arrangement gives each company a distinct layer of the proposed project, from the powered site to the sale and operation of GPU capacity.

Customers would have two operating options: meter, bill and resell capacity, or run isolated workloads that never leave the facility. The first supports a regional cloud business serving multiple users; the second is aimed at organizations that need tighter control over where their AI workloads run.

Gcore’s AI Cloud Stack documentation describes the software as a private AI cloud platform for turning GPU infrastructure into enterprise services. It includes orchestration, monitoring, billing and around-the-clock operational support, with on-demand virtual machines or bare-metal GPUs, managed Kubernetes and GPU access as a service. Identity controls, quotas and multi-tenancy across CPU, network and storage resources allow multiple customers to share infrastructure with separate access and resource allocations.

Complete white-labeling would allow a local operator to brand the platform as its own, while reseller-channel support provides a mechanism for selling capacity. Those features help explain the emphasis on metering and resale: the proposed data center could support a multi-customer local AI-cloud business alongside isolated deployments.

Kazakhstan’s Case for Regional AI Capacity

The companies’ site rationale combines competitively priced energy, available land and lower cooling costs with a government that treats AI infrastructure as a national priority. Its location and the Astana International Financial Centre’s common-law framework extend that rationale beyond operating costs to regional reach and the legal setting for customers in neighboring markets.

TengriAI General Director Nurassyl Medeu said the goal was to make Kazakhstan “a leading AI token hub in Central Asia,” citing Gcore’s experience operating GPU clouds at scale and working with telecom operators.

The MoU links Kazakhstan’s energy, land and jurisdictional advantages to a specific commercial model: local physical infrastructure, Gcore-operated cloud software and capacity that can be resold or kept isolated. Customer development is built into Gcore’s role, making demand generation central to any move from exploration toward the phased 100 MW target.