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Russia’s AI Ambitions Take a Hit With Ukrainian Data Center Strikes

Russia’s drive to develop “sovereign” AI was already struggling. Then came the drone strikes.

Russian drone strikes on data centers operated by Sber and Yandex in October have hampered Russia's ambitious AI industry. The Kremlin has placed AI at the center of its efforts to revitalize investment and spur growth, but the strikes have added to existing challenges. Russia's AI industry faces difficulties in securing the necessary chips and power for expansion.

President Putin aims to develop a "sovereign" AI infrastructure and standards. The strikes affected roughly 11% of Russia's data center capacity, though most services have since been restored. However, fully repairing the damage could take up to six months. Yandex reported that about 97% of the affected cloud customer data was restored, with the remaining 3% permanently lost.

An online teacher using a Yandex platform noted ongoing disruptions. Russia's data centers are concentrated in Moscow and St. Petersburg, but grid capacity in these cities is nearing its limit. Some developers are building their own power plants to secure electricity, adding to costs. Tech giants like Yandex have struggled to secure enough electricity to expand their AI infrastructure.

Russia faces an estimated annual shortfall of up to 300 megawatts in new data center capacity, with limited domestic production of advanced processors needed for AI servers. Infrastructure constraints are putting Russia at a disadvantage compared to China. Sanctions, a weaker ruble, and high borrowing costs further complicate the situation.

Building data centers underground could offset some risks but would come at a higher cost. Russia's data center capacity is estimated at 1.8 gigawatts, significantly lower than major markets like the U.S., China, and Germany. The Kremlin acknowledges Russia's inability to match leading AI models from the U.S., but maintains that Russia is among the top five in the global race.

However, Russian AI models are largely confined to domestic markets and lack the global reach of competitors. Experts warn that structural disadvantages may persist without a clear plan for improvement.

Written by urgent.news from The Moscow Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at themoscowtimes.com →

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