Gcore and TengriAI Explore a 100 MW AI Data Center in Kazakhstan

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Gcore and TengriAI Explore a 100 MW AI Data Center in Kazakhstan

Updated on Nov 13, 2026, 08:23 PM IST
Written & Edited by Harikesh VA

Gcore and TengriAI have signed a Memorandum of Understanding to explore a GPU data center in Kazakhstan with a target capacity of up to 100 MW, phased between 2027 and 2029.

 

Project targets Central Asia’s domestic AI compute gap

The announcement, made from Luxembourg and Astana, describes a project that would give Central Asia large-scale GPU capacity run in the region.

The companies framed the project as a response to a regional gap: Central Asia has little domestic AI compute, so organizations depend on capacity in Europe, the Gulf or East Asia, often outside their own regulatory jurisdiction.

 

 

A division of responsibilities

Under the MoU, TengriAI would handle land, power, permitting and construction, while Gcore would provide the AI cloud stack, operations and customer demand. The platform involved is the one Gcore runs in its own GPU clouds as an NVIDIA Preferred Cloud Partner.

Customers of the facility could meter, bill, and resell capacity or run isolated workloads that never leave the facility.

"Every market we work in is asking the same question: how do we run AI on our own terms?" said Andre Reitenbach, CEO of Gcore. "The project would put large-scale GPU infrastructure in the country, operated from the country, for customers across the region."

Nurassyl Medeu, General Director of TengriAI, said the goal is to make Kazakhstan a leading AI token hub in Central Asia. He noted that Gcore operates GPU clouds at scale and has done this with telecom operators.

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A different model from hyperscalers

Gcore describes itself as one of few Europe-headquartered companies that operate its GPU clouds, owns the global network, and secures every deployment.

 

Reitenbach drew a distinction with other players in the market: "Software vendors have never operated a platform. Hyperscalers will not hand over the keys. We do both," he said.

Why Kazakhstan

The companies cited several advantages of locating the facility in Kazakhstan: competitively priced energy, available land, lower cooling costs, and a government that treats AI infrastructure as a national priority.

 

Kazakhstan's location and the Astana International Financial Centre's common-law framework were also cited as making the country a natural base for serving neighboring markets.

The MoU is exploratory in nature, with the companies saying the project "would" deliver the capacity rather than committing to a build at this stage. Details on the site location, financing, and construction timeline have not been disclosed beyond the phased 2027 to 2029 window.

More information about Gcore and TengriAI is available through the companies' websites. Press inquiries for Gcore are handled by Daniel Hoelzer, Global Lead of PR & Communications.

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