One of the advantages of Siberia is its freezing cold and the abundant hydropower is extremely cheap. The Kremlin is planning to turn the frozen wastes of its mythical tundra into one of the biggest AI data hubs on the planet and China has already signed up to be a customer.

In the mountain valleys of Siberia, thousands of kilometres from Moscow's tech corridors, a new economy is quietly assembling itself. The region that for a century exported coal, oil and timber is now exporting something less tangible: computing power.

Russia has 194 commercial data centres, according to industry data, and until recently approximately 85% of them were concentrated in Moscow. That share is changing. Siberia and Russia's Far East now account for more than 15% of the national data centre footprint — and the trajectory is accelerating, driven by a combination of geography, energy economics and geopolitical alignment that is attracting significant Chinese corporate interest.

The fundamental proposition is simple. Cold air cools servers. Siberia has cold air for eight to nine months of the year. Data centres in hot and humid southern China spend significant resources on active cooling systems that consume additional energy and reduce overall power efficiency. In Siberia, nature provides the cooling for free for the majority of the operating calendar.

The energy arithmetic

But the electricity price advantage is where the Siberian proposition becomes most compelling. In Russia's Far East special economic zones, electricity costs between $0.045 and $0.065 per kilowatt-hour. Russia’s interior beyond the Ural mountains is crisis crossed by large rivers on which numerous hydropower dams were built in Soviet times to power the so-called mono-city natural resource based habitations, but little else happens there.

Eastern China's equivalent cost of electricity is approximately two to two and a half times higher. The consequence for operational economics is significant: running a 10 megawatt server farm costs approximately $475,000 per month in Siberia, compared with over $1.1mn in Shanghai for equivalent capacity.

That gap matters enormously in a business where electricity is the dominant operational cost. Data centres globally are estimated to account for 1 to 5% of total electricity consumption, and as AI workloads have grown more intensive — requiring high-performance computing clusters running continuously for model training — the cost of power has become the primary determinant of where infrastructure gets built. The US and European markets are grappling with electricity prices driven upward by the Iran war's disruption to global energy supply, while Siberia's grid is largely fed by large hydroelectric dams that operate independently of fossil fuel markets.

Russia freed up an estimated 1.5 to 2 gigawatts of electricity capacity in Siberia and the Far East by cracking down on illegal cryptocurrency mining operations, which had been consuming between 2.5 and 3 gigawatts — primarily in these regions — before enforcement action was intensified. That freed capacity is now being redirected toward legitimate data centre infrastructure, with cleaner provenance and state support.

The Chinese connection

Chinese corporate interest in Siberian computing capacity spans multiple sectors. Chinese electric vehicle manufacturers operating in Russia — including Haval, Chery and Geely, all of which have established significant presences in the Russian market since Western brands departed — have increased spending on Russian cloud services thirteenfold, according to reports.

The scale of Chinese EV penetration in Russia (Chinese brands now account for the majority of new car sales in the country) creates genuine demand for localised cloud infrastructure, particularly given Russia's data localisation requirements that mandate storage of Russian user data on Russian servers.

Beyond automotive, Chinese technology companies including Alibaba (NYSE: BABA) and Tencent (HKG: 700) are reported to be exploring Russian cloud infrastructure as part of their broader international expansion. Both companies have been investing heavily in data centre infrastructure globally — Alibaba has committed more than $50bn to cloud and AI hardware over three years — while simultaneously looking for cost-effective alternatives to increasingly expensive Chinese domestic capacity.

China's own data centre market is projected to grow at a compound annual rate of 35% through 2032, creating domestic capacity constraints that make external options attractive. China has a policy where it is trying to create the world’s leading electrostate and AI capacity is a key element in its development.

Siberia's proximity to China adds to the appeal and means latency between a data centre in Irkutsk or Krasnoyarsk and a user in Beijing or Harbin is significantly lower than between those Chinese cities and equivalent facilities in South-East Asia or the Middle East. For latency-sensitive applications — AI inference, real-time data processing, connected vehicle systems — physical distance matters.

The geopolitical architecture

The Siberian data centre story does not unfold in isolation from the broader Russia-China economic relationship, which has deepened substantially since Russia's 2022 invasion of Ukraine isolated it from Western technology suppliers and markets. China has become Russia's dominant trade partner, its primary source of consumer electronics, vehicles and technology, and increasingly a co-investor in infrastructure.

For Chinese companies operating in Russia, data localisation requirements present both a constraint and an opportunity. Russian law mandates that personal data of Russian users be stored on Russian territory — which means any Chinese company with a significant Russian user base or commercial operation must maintain Russian infrastructure. The alternative to building or leasing Siberian capacity is either compliance risk or exclusion from the Russian market. The Siberian data centre boom is, in part, the infrastructure of compliance.

The arrangement suits both sides. Russia monetises energy surplus and infrastructure capacity that Western sanctions have limited its ability to deploy elsewhere. China gains cost-effective computing capacity in a jurisdiction where Western technology companies have largely withdrawn, reducing competition for both physical infrastructure and digital market share.