Russia is steering part of its artificial intelligence and cloud buildout away from Moscow and St. Petersburg and toward Siberia and the Far East. The latest example is a planned AI-focused data center in the Republic of Sakha, better known as Yakutia.
The idea is to pair the region's long, frigid winters and local energy resources with growing demand for high-performance computing, according to a report by Frontier India. If it works, the project could serve as a template for a more geographically spread-out national computing network.
Regional Leaders Sign Off on the Yakutia Project
On November 5, 2026, authorities in Russia's Far East endorsed plans for the Yakutia facility at an interregional meeting. Representatives from Yakutia, the Jewish Autonomous Region, Trans-Baikal Territory, Khabarovsk Territory, Kamchatka and Chukotka took part in the discussion.
The data center is expected to open with 1.4 MW of installed capacity, with room to grow to 4.2 MW. Its computing power is aimed at government bodies, large companies, universities, technology parks and IT firms across the Far Eastern Federal District, making it a shared regional resource rather than a single-territory asset.
Cold Weather as a Cost Advantage
Yakutia's climate is central to the pitch. Extended periods of low temperatures allow for free cooling, which uses outside air to pull heat away from servers instead of relying on power-hungry mechanical systems.
Project information indicates natural cooling could be used for more than 70 percent of the year. That matters for AI workloads, where dense clusters of graphics processors generate significant heat and cooling can represent a large share of a facility's electricity bill.
Energy Supply Shapes the Map
Climate alone does not decide where large data centers go. Reliable power, grid connections and predictable long-term electricity prices are just as important, and parts of Siberia and the Far East have notable generation capacity.
In June 2026, Deputy Prime Minister Alexander Novak pointed to Krasnoyarsk Territory, Khakassia, Irkutsk Region and Amur Region as promising data center sites because of their hydroelectric infrastructure, and also highlighted nuclear-generating regions such as Tomsk and Sverdlovsk. Novak estimated Russia has roughly 1.8 GW of data center capacity for productive computing today, a figure projected to reach 4.3 GW by 2030, while data center electricity use is growing by about 18 percent a year.
Yakutia also holds large natural gas reserves, including those tied to the Vilyuy group of fields, which could support dedicated generation. Still, not every eastern region has surplus power, and rising demand in the Far East means new generation, transmission and data center projects will need careful coordination.
A Growing Cluster of Eastern Facilities
Yakutia is joining a wider wave of investment. In Vladivostok, Key Point runs a commercial Tier III data center whose first phase of 440 server racks is nearing capacity, prompting plans for a second phase oriented in part toward connections with Asian markets.
In Khabarovsk, MegaFon commissioned a modular data center in February 2026 designed to scale to 110 racks and up to 1 MW. Rostelecom is building a larger site in the Rakitnoye advanced development territory, with 440 rack spaces, four machine rooms and 4 MW of electrical capacity, scheduled for commissioning in 2027.
Further west, Irkutsk and Krasnoyarsk combine hydropower with existing industrial infrastructure, and former cryptocurrency mining sites there are drawing interest for cloud and AI use.
Distance and Capital Remain Hurdles
Moving computing thousands of kilometers east brings practical problems. Data centers need nearby customers, dependable power transmission, skilled maintenance staff and high-capacity telecommunications links.
At the Eastern Economic Forum in September 2026, experts stressed that connectivity must improve alongside power generation. A reported signal delay of around 106 milliseconds between Moscow and Vladivostok could hamper real-time services, though workloads such as AI model training, data storage and scientific computing are far less sensitive to latency.
Capital costs are another constraint, since large facilities require heavy spending on servers, accelerators, networking, cooling, buildings and electrical equipment.
What the Eastern Strategy Signals for the Industry
By global hyperscale standards, the Yakutia project is modest. Its significance lies in what it represents: an effort to turn regions long valued mainly for raw materials and energy into suppliers of digital services, while reducing the concentration of critical infrastructure in western Russia.
For cloud providers and operators, the lesson is familiar from other markets: AI growth is making power, cooling and location as important as access to chips. Whether eastern Russia becomes a meaningful computing hub will depend on reliable networks, affordable electricity, access to advanced hardware and steady long-term demand.
Source: Frontier India
