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Major AI companies and infrastructure investors are looking at Kazakhstan because it is offering more than land for server buildings: it is bundling expandable electricity, new generation, grid access, sovereign-cloud rules, telecommunications and a route to customers across Central Asia. That combination addresses AI’s hardest physical constraint. As NVIDIA vice president Rev Lebaredian put it, “If you do not have energy, you cannot build the rest. It is the foundation.”
The plans are large but mostly still plans. Announced projects include a 300-megawatt Data Center Valley designed to expand toward 1 gigawatt, GK Hyperscale’s $1.5 billion pair of Tier 3 facilities and a separate $2 billion sovereign AI hub backed by Freedom Holding. Construction schedules, financing, power contracts and commissioning evidence will determine whether the announcements become operating capacity.
Why are AI companies building data centers in Kazakhstan?
Kazakhstan is trying to turn an electricity and infrastructure advantage into a regional computing platform. Its proposition rests on several connected factors rather than one unusually cheap input.
- Power at useful scale: Data Center Valley is announced with 300 MW available initially and a phased path toward 1 GW. That is the kind of expansion envelope needed for successive AI clusters rather than a single server hall.
- A mechanism to add generation: The government’s 70/30 model lets large consumers anchor new generation. Up to 70% of newly added capacity can be sold directly to major users such as data centers, while 30% supports Kazakhstan’s Unified Power System.
- Prepared campus and connectivity: The valley is presented as a site for cloud, AI and digital services, with Kazakhtelecom involved in a separate sovereign-cloud memorandum with Aleria.
- National control of sensitive workloads: Government statements frame the projects as sovereign-cloud and AI infrastructure operated under national governance, which can help organizations that cannot place regulated data in a foreign region.
- Regional demand and exports: GK Hyperscale expects at least half of its data-center revenue to come from export contracts, positioning the facilities to serve customers beyond Kazakhstan.
- Policy timing: Kazakhstan declared 2026 the Year of Digitalization and Artificial Intelligence and adopted a “Digital Qazaqstan” strategy. That gives infrastructure projects political backing while the country is modernizing its energy system.
The business logic is therefore integrated: data-center demand helps justify generation and transmission investment, while new power makes larger AI deployments possible.
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How much electricity will Kazakhstan’s AI data centers need?
The headline numbers describe a staged build-out, not one immediate load. The initial Data Center Valley announcement cites 300 MW, with expansion toward 1 GW. GK Hyperscale separately announced 200 MW of combined IT capacity for two facilities. A Freedom Holding project cites 100 MW of available power. These figures should not be added automatically because they belong to different announcements and may overlap in geography or future grid planning.
What the 70/30 energy model does
Under the mechanism described by Kazakhstan’s Ministry of Energy-related digital authorities, a large data-center customer can help make a new power project financeable. As much as 70% of the new plant’s capacity may be contracted directly to major consumers; the remaining 30% is directed to the national grid. The stated aim is to attract private capital without placing the investment burden on household tariffs.
| Element | Announced value | How to interpret it |
|---|---|---|
| Initial Data Center Valley capacity | 300 MW | Available capacity cited for the first phase of the campus |
| Long-term Data Center Valley target | Up to 1 GW | Phased expansion ambition, not commissioned capacity |
| Direct-consumer share under 70/30 | Up to 70% | Potentially contracted to large users such as data centers |
| Share for the Unified Power System | 30% | Added generation reserved for the national grid |
For AI operators, the important distinction is between nameplate or planned power and firm, deliverable power at the site. A campus can advertise a future gigawatt while individual modules are still waiting for a grid connection, generation plant, substations, storage and contracts. Investors will need evidence of each step.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallWhat is Data Center Valley, and why is Ekibastuz important?
Data Center Valley is Kazakhstan’s proposed large-scale campus for cloud, AI and digital services. Government material places the expansion plan in the Ekibastuz area and describes a $10 billion package involving Firebird and NVIDIA. A separate memorandum with Aleria and Kazakhtelecom describes planned energy capacity of up to 1 GW in Ekibastuz and focuses on sovereign cloud and AI infrastructure.
Ekibastuz matters in this strategy because the location is being treated as an energy-and-compute platform rather than as an isolated data-center plot. The project model links a prepared campus to generation, storage, transmission and telecommunications. That reduces the risk that a developer can build a shell but cannot energize it at the required density.
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The public announcements do not establish that a full 1 GW campus is already financed, built or connected. They establish an intended scale and a policy framework for reaching it.
Which companies and projects are involved?
Several announcements form a broader corporate stack. They represent different stages and should not be read as one completed facility.
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|---|---|---|
| GK Hyperscale | $1.5 billion; 200 MW combined IT capacity | Two Tier 3 data centers; more than 360 skilled jobs; at least $1.2 billion in local-content procurement; construction planned for the first quarter of 2026; first module expected in 2027 |
| GK Hyperscale energy package | More than $1.2 billion | Power plant, wind farm and energy storage associated with the data-center build |
| Data Center Valley | $10 billion package; 300 MW initially, expandable to 1 GW | Government-described campus with Firebird and NVIDIA named as partners |
| Aleria memorandum | Up to 1 GW planned energy capacity in Ekibastuz | Cooperation with the Ministry of Artificial Intelligence and Digital Development and Kazakhtelecom on sovereign cloud and AI infrastructure; Aleria says it works with NVIDIA and DDN |
| Freedom sovereign AI hub | $2 billion; 100 MW available power | NVIDIA-powered infrastructure announced by Freedom Holding as a financing and implementation partnership |
Because these are separate announcements, capacity, investment and partner references must be attributed to the specific project. A named technology partner does not by itself prove that hardware has been ordered or installed.
What does GK Hyperscale plan to build?
GK Hyperscale’s plan is the clearest example of a data center paired with dedicated energy investment. The company announced two Tier 3 hyperscale centers with a combined 200 MW of IT capacity and a $1.5 billion investment. It also announced more than $1.2 billion for a power plant, wind farm and storage.
Schedule and local economic commitments
- Construction is planned to start in the first quarter of 2026.
- The first module is expected to operate in 2027.
- The project forecasts more than 360 skilled jobs.
- At least $1.2 billion in local-content procurement is included in the announcement.
- At least 50% of data-center revenue is expected to come from export contracts.
These are company and government-announced targets. They indicate intended sequencing, but they are not evidence that every module, turbine, storage system or customer contract has been delivered.
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Why do sovereign-cloud and localization goals matter?
Cloud customers often weigh legal control and data location alongside price and performance. Kazakhstan is presenting its campuses as infrastructure that can keep sensitive workloads under national governance while still offering modern AI computing.
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The Aleria memorandum explicitly links localization with sovereign operation. Kazakhtelecom’s participation adds a domestic telecommunications operator to the infrastructure stack, while the government describes Data Center Valley as a platform for cloud and AI services. For public-sector, financial or industrial users, local control can simplify compliance and reduce dependence on a distant foreign region.
Sovereignty also has an export dimension. If Kazakhstan can operate reliable, certified capacity at competitive terms, it can sell computing and cloud services to neighboring markets without requiring every customer to build its own facility. GK Hyperscale’s expectation that at least half of revenue will come from exports is a measurable expression of that ambition.
How does Kazakhstan intend to pay for the supporting energy system?
The 70/30 model is designed to make data-center demand part of the financing case for new generation. Instead of asking the public grid to fund all capacity in advance, a major consumer can commit to a large share of output while the remainder strengthens the national system.
This policy arrives during a broader modernization program running from 2025 through 2029. The government project passport targets at least 200 natural-monopoly entities and 30 combined heat and power plants, with total investment requirements listed at 13,588 billion tenge. Data centers are only one category of demand, but their concentrated and predictable load can help justify infrastructure upgrades that also benefit other users.
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For developers, the model could improve the chance of obtaining dedicated power and a clear connection timetable. For policymakers, the 30% grid allocation is intended to prevent private digital projects from consuming all new generation without strengthening the wider system.
Is Kazakhstan becoming an AI data-center hub?
It has the ingredients of a hub, but the evidence currently supports “emerging platform” more confidently than “established hub.” Kazakhstan offers a large expansion target, a policy mechanism for generation, sovereign-cloud positioning and a regional export strategy. The decisive test will be whether announced capacity becomes energized, commissioned and contracted.
How Kazakhstan’s offer should be evaluated
| Decision factor | What the announcements show |
|---|---|
| Firm power and scalability | 300 MW cited initially for Data Center Valley, with a path toward 1 GW; separate projects cite 100 MW and 200 MW scales |
| Grid connection certainty | A 70/30 mechanism and associated generation plans are announced; project-level connection contracts are not publicly detailed |
| Campus expansion | Valley and hyperscale plans are designed for phased growth |
| Data sovereignty | Government and Aleria describe sovereign-cloud and nationally governed AI infrastructure |
| Telecommunications and regional access | Kazakhtelecom is named in the Aleria memorandum; detailed cross-border capacity is not disclosed |
| Renewables and storage | GK Hyperscale’s energy package includes a wind farm and storage |
| Execution risk | Public material gives announced dates and values, but not complete financing, procurement or commissioning records |
There is no like-for-like international electricity-cost comparison in the public material cited for these projects. Claims that Kazakhstan is cheaper than every competing location would therefore go beyond the available evidence.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What remains uncertain about the investments?
Large headline figures can describe an ambition, a memorandum, a reserved connection or an operating asset. The announcements do not establish that every dollar, megawatt or GPU order has been financed, delivered or commissioned.
- Detailed power-purchase agreements and grid-connection milestones have not been disclosed.
- Procurement lots, equipment delivery dates and storage specifications remain unspecified.
- Customer contracts are described as targets or expected export revenue rather than a complete published customer list.
- Partner references do not, on their own, prove hardware installation or production workloads.
- The $10 billion Data Center Valley figure is a government-described package, not a published accounting of money already spent.
A 2025 GMF report provides context that Western cloud providers were popular in Kazakhstan but generally lacked local infrastructure, while recording engagement or discussions involving major providers. That background does not prove commitments to the newly announced campuses.
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What should customers and investors watch next?
The following milestones will separate a credible operating platform from a promotional announcement:
- Financial close: confirmation that project capital, debt and investor commitments are secured.
- Grid and generation contracts: published evidence of connection rights, firm capacity and the allocation between direct users and the national grid.
- Physical construction: progress against GK Hyperscale’s planned first-quarter 2026 start and the 2027 first-module target.
- Commissioning data: energized substations, tested cooling and power systems, and customer-usable IT capacity.
- Hardware and software deployment: disclosed delivery and installation of AI systems rather than only a reference to a technology partner.
- Commercial workloads: signed local or export contracts that demonstrate recurring use of the capacity.
- Energy performance: proof that wind, storage and other generation assets can support the required reliability and power quality.
- Local capability: hiring, training and supplier activity consistent with the promised skilled jobs and local-content spending.
These checks also matter to potential customers. A sovereign label is valuable only when the operator can demonstrate reliable service, clear jurisdiction, security controls and enough commissioned capacity for the workload.
What is the strategic payoff for Kazakhstan?
If the projects are executed, Kazakhstan could capture value at several layers: construction and equipment procurement, power generation, data-center operations, cloud services, AI application development and exports to neighboring markets. The national energy modernization program gives the projects a wider infrastructure context, while the Digital Qazaqstan strategy gives them a defined policy home.
The risk is equally structural. Data centers consume power continuously, and a delayed generation project or weak transmission link can strand expensive computing equipment. Kazakhstan is therefore attempting to solve energy, digital sovereignty and regional market access as one infrastructure problem rather than treating the server building as a standalone real-estate project.
Frequently Asked Questions
Are Kazakhstan’s announced AI data centers already operating?
The public announcements provide planned capacities and, for GK Hyperscale, a first-module target in 2027. They do not provide evidence that the full campuses or the advertised gigawatt-scale capacity have been commissioned.
What is the difference between a project’s IT capacity and its available power?
IT capacity describes the electrical load assigned to computing equipment inside the data center, while available power can include the broader supply reserved for a site. Comparing the two requires knowing the project boundary and whether generation, storage and grid capacity are included.
Does naming a chip or infrastructure partner prove that GPUs are installed?
No. Partner announcements show an intended technology relationship. Delivery, installation, acceptance testing and production workloads require separate evidence, none of which is established for every announced project.
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Export contracts would let the country use its power and campus investment to sell cloud and AI services beyond its domestic market. GK Hyperscale’s stated expectation that at least half of revenue will come from exports is a target, not a reported result.
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