AI - The Times Of Central Asia

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Digital Infrastructure

Uzbekistan Opens AI Data Centers and Signs Amazon Satellite Internet Deal

Uzbekistan’s state telecoms operator Uztelecom is expanding the country’s digital infrastructure with two new data centers, a satellite internet deal with Amazon, and a high-speed network designed to move large amounts of data between computing facilities. The projects were presented on September 22, the first day of ICTWEEK Uzbekistan 2026, the country’s largest technology week, which runs in Tashkent through September 25. [video width="1920" height="1080" mp4="https://timesca.com/wp-content/uploads/2026/09/document_5303308046666082166.mp4"][/video] The new data centers have opened in Bukhara and Kokand. They operate as part of the UzCloud platform and provide computing capacity to both government agencies and businesses. The facilities have servers with graphics processing units (GPUs) for training and running artificial intelligence models, machine learning, processing large datasets, and video analytics. Bukhara and Kokand are both more than 300 kilometers from Tashkent. Distributing computing capacity across different regions makes it possible to shift workloads to another site in the event of a failure. The designs of both data centers have received Tier III certification from the Uptime Institute. This confirms that the designs allow maintenance without interrupting operations. “We are expanding access to computing resources and artificial intelligence capabilities for the government and businesses,” Umar Izbasarov, Director of Uztelecom’s Department for Advanced Development and Investment Projects, said at ICTWEEK. Uztelecom has also signed an agreement with Amazon Leo, Amazon’s satellite internet network. UZ-SAT, a subsidiary of the Uzbek operator, will act as an authorized distributor of its services in Uzbekistan. Amazon Leo is a low-Earth-orbit satellite network being built out to include more than 3,000 satellites and designed to provide connectivity in areas where terrestrial networks are difficult or expensive to build. According to Uztelecom, its infrastructure currently covers 96% of Uzbekistan’s settlements, while its fiber-optic network extends for more than 378,000 kilometers. The satellite network is expected to complement it in remote areas and at industrial sites. “The partnership with Amazon Leo will allow us to expand connectivity in areas of the country where the use of traditional terrestrial infrastructure is limited,” UZ-SAT CEO Bakhrom Azimov said. Amazon’s satellite network would add another connectivity option for remote areas alongside fiber-optic and mobile networks. The announcement does not specify when services will become widely available to customers in Uzbekistan. The third project concerns how data is transferred between data centers. Uztelecom, together with Japan’s Toyota Tsusho, NTT DOCOMO BUSINESS, and NEC, is launching a pilot All-Photonics Network, or APN. The technology keeps data traveling as light for more of its journey, rather than repeatedly converting it into electrical signals. This can make connections faster and more energy-efficient. In the first phase, APN is expected to connect two Uztelecom data centers in the Tashkent region. The planned link is designed to provide bandwidth of up to 800 Gbps and latency of less than one millisecond. In 2027-2028, the network is expected to expand to the data centers in Bukhara and Kokand. “The growing needs of Uzbekistan’s economy require new data centers and network technologies capable of connecting them into a single high-performance system,” Izbasarov...

opinion

What Building Central Asian Supply Chains Taught Me About AI

I took over spare-parts supply at BPK Auto in Ust-Kamenogorsk in the mid-2000s, at the age of 25, moving from selling cars. The company was the general dealer for VAZ in Kazakhstan, assembled Niva models in the city, and was taking on Skoda, Chevrolet, and Kia while building service centers across the country to meet the expectations of those brands for a dealer. My job was to keep parts flowing to all of it. Several thousand vehicles came through in a month, and a single car contains something like 50,000 separate part numbers. The service teams wanted as many of those as possible sitting on the shelves. From where they stood, that made sense, because they were judged on whether a mechanic could start a repair the same day, whether a customer complained, and an ISO audit was running over the service operation at the same time. From the procurement side, the arithmetic looked different. Some parts cost two or three thousand dollars and were fitted once or twice a year, and holding them across four model lines tied up a large share of the company's working capital. I built the forecast in spreadsheets and checked it against actual sales once the month closed in 1C. To run it, I needed the service side's own records: how many vehicles of each type they had seen, and what had been repaired. I asked for them for months. They would not release them. Some of that was habit; a warehouse full of everything being what a well-run operation had looked like for the previous 40 years. More of it sat in how the two departments were counted. My result was recorded the moment the parts moved into the service center. Theirs was recorded much later, when the car left the workshop. Nobody was measured by the number that would have made the forecast work. The forecasting was the straightforward part of that job. The difficult part was building an operation in which people shared the information behind the forecast and were expected to act on its findings. Why a Better Model Would Not Have Changed the Outcome Put one of today's AI demand-forecasting systems into that same warehouse and very little changes. The forecast would be far better than anything I produced by hand. It would still depend on service records that nobody was willing to release, and where records did exist, it would be reading entries written up at the end of a long shift. It could not grant the purchasing manager authority to reorder against it, nor could it alter the measures by which the service department was judged. Better intelligence does not repair the path between operational data and operational action. Every party you add to that path lengthens it. A distribution network across Kazakhstan and Kyrgyzstan can run from a manufacturer to over 45,000 small retail outlets, served through more than 18 distribution centers, with 1,391 field staff taking and checking orders on the ground. An order begins...

Artificial intelligence

Kyrgyzstan’s NineNineSix Takes On Global AI Voice Market

In February, Kani TTS 2, a text-to-speech (TTS) model developed by Kyrgyzstani startup NineNineSix, ranked among Hugging Face’s top three trending TTS models, according to Kyrgyzstan’s High Technology Park. Hugging Face is sometimes described as the “GitHub for AI.” At $5 per million characters, NineNineSix’s listed price is lower than several paid TTS offerings from ElevenLabs and OpenAI, while Google’s range includes both cheaper and more expensive models. The company illustrates how rapid advances in AI are creating opportunities for entrepreneurs from Central Asia. NineNineSix, whose name refers to the Kyrgyz Republic’s international calling code, +996, grew out of a problem its founders encountered when using third-party pre-trained models at their previous startup. Using its own data, the team fine-tuned those models but remained dissatisfied with the results. Those models sounded robotic and were too resource-intensive and slow, creating a bottleneck. The team concluded that building its own model was the only way to achieve the quality it needed. [caption id="attachment_54711" align="aligncenter" width="1024"] Founders Ulan Abdurazakov, Nursultan Bakashov and Denis Pavlov[/caption] Not the First Try NineNineSix co-founder Nursultan Bakashov tells The Times of Central Asia: “Building our own models felt like the natural next chapter of the story we’d already started writing. In the age of AI, the only real choice is to do AI.” Bakashov founded the company in 2025 with Ulan Abdurazakov and Denis Pavlov. He and Abdurazakov had previously worked together, co-founding Makers Bootcamp with a third partner in 2019 to train people for careers in technology. Three years later, they left Makers Bootcamp to focus on AI. They became active in the Kyrgyz Republic’s AI community, organizing events and training for several years. The community now has more than 1,800 members. Their work there led to The Cramer Project, which they launched with Timur Turatali, formerly of EY and Citibank, and Pavlov, who had moved from Russia to the Kyrgyz Republic. The company developed AkylAI, which it describes as Kyrgyzstan’s first AI-powered smart speaker. The name refers to Akylai, a common female name in Kyrgyz; the element “ai” means “moon” and often appears in Kyrgyz names. In October 2023, AkylAI was named a winner in the Unicorn from KG program, run by the High Technology Park of the Kyrgyz Republic. It also took part in Draper University’s Hero Training incubation program in Silicon Valley. The following year, AkylAI was selected for the European Bank for Reconstruction and Development’s first Star Venture cohort in the Kyrgyz Republic. It was also presented at KIT Forum 2024, Bishkek’s flagship annual technology event. That year, The Cramer Project also tested CorePod, a smart speaker designed to support mental health and sleep. CorePod was intended as a global product, beginning with the United States market. The team says the company became the first Kyrgyzstani startup admitted to the LAUNCH incubator in May 2024. CorePod was later pitched to Jason Calacanis, a Silicon Valley angel investor, and featured on his This Week in Startups podcast. An upgraded version of AkylAI was presented...

Data Center Valley

Can Kazakhstan Power Its AI Ambitions?

For now, it is only a vast construction site lost in the steppe, a few kilometers from Ekibastuz, a mining city in northern Kazakhstan. Cranes move behind fences in the shadow of a Soviet-era power station. It is hard to imagine that, from 2027, this site is supposed to become the first piece of a giant artificial intelligence campus. Known as Data Center Valley, the project is eventually expected to reach one gigawatt. At full capacity, it could consume as much as 8.8 terawatt-hours a year, Kazakh media Qyzyq estimated, around 7% of Kazakhstan’s current electricity generation. Development will be gradual, with an initial 50-megawatt facility scheduled to enter service in June 2027. U.S.-based Firebird.ai and state-controlled Kazakhtelecom are leading the industrial project. Yet the futuristic bet collides with a more prosaic reality. “Economic and industrial growth in Kazakhstan is currently outpacing the rate of commissioning and modernization of generating capacity,” the Ministry of Energy acknowledged in a response to The Times of Central Asia. In 2025, the gap between domestic generation and consumption reached 1.5 terawatt-hours, forcing the country to import electricity, mainly from Russia. President Kassym-Jomart Tokayev has acknowledged the scale of the challenge. At the National Kurultai in January, he said data centers consume electricity on a scale comparable to metallurgical plants and that Kazakhstan’s existing generation was “clearly insufficient” for its development plans. He called energy self-sufficiency a key state priority and ordered an expansion of generating capacity, including new coal-fired power. How, then, can Kazakhstan power a campus that could consume almost six times that shortfall? More strikingly, when the government prepared its 2026 electricity forecast, neither Data Center Valley nor any other AI or data-center project was included. The ministry says they will enter its calculations from 2027 - the same year the first facility is due to start operating. [caption id="attachment_54529" align="aligncenter" width="1774"] The mine of Bogatyr is expanding to increase production[/caption] From Coal to Algorithms In Ekibastuz, the answer comes down to one word: coal. “In essence, Kazakhstan is turning Ekibastuz coal into export digital revenue,” Kazakhtelecom chairman Bagdat Musin has said. Electricity generated locally would be converted into computing services sold internationally. No major named customer contract has been announced, although Firebird says it holds guaranteed service contracts with global players. Amazon and G42 have been named as companies entering the ecosystem, while Kazakhstan has also held talks with Microsoft and OpenAI. The landscape appears built for that ambition. Nearby lies Bogatyr, one of the world’s largest open-pit coal mines. From the observation deck, terraces of rock descend 300 meters into the earth. Excavators and haul trucks look like toys at the bottom. “Ekibastuz is a very smart choice: energy is abundant and cheap here, while proximity limits transmission losses between the power station and the consumer,” Yevgeny Masternak, CEO of mine operator Bogatyr Komir, told TCA. To keep pace with anticipated demand, the company plans to raise annual production from 42 million tonnes in 2024 to more than 56 million...

Pax Silica

Kazakhstan’s Role in Pax Silica After WAICO

Kazakhstan became the first Central Asian country to join the U.S.-led Pax Silica initiative. It also signed the agreement establishing China’s World Artificial Intelligence Cooperation Organization, or WAICO. That dual participation could now become consequential. Reuters reported on August 14 that the State Department had prepared an undated draft letter warning the 35 signatories of the U.S. AI Opportunity Statement that participation in Pax Silica could be incompatible with membership in competing initiatives. Kazakhstan is the only country presently known to have joined both frameworks. The draft could still change, and the State Department has not publicly adopted the position it contains. Kazakhstan’s decision to join both initiatives also reflects its long-standing multi-vector foreign policy. Astana has sought practical relations with competing powers rather than exclusive alignment with any one bloc, an approach its official foreign-policy concept describes as maintaining mutually beneficial relations with states and organizations of practical interest to Kazakhstan. Joining a U.S.-led supply-chain initiative and a China-led AI organization fits that pattern, although it also makes the question of compatibility more consequential. Washington’s concern is understandable. Pax Silica is intended to create trusted supply chains, strengthen investment security and protect sensitive technology and infrastructure from undue access or control. Membership is meant to represent more than attendance at another diplomatic forum. The question is what Kazakhstan has agreed to do through WAICO, how those commitments will be implemented, and whether they create competing expectations or affect specific Pax Silica projects. Kazakhstan’s Role in the Supply Chain Pax Silica spans the AI supply chain from energy and mineral processing to semiconductors, data centers and models. Kazakhstan also has ambitions in digital infrastructure and AI services, but its strongest existing capabilities relevant to Pax Silica are concentrated in energy, mineral production, selected processing and Eurasian connectivity. The framework is designed to combine the different industrial strengths of its participants rather than reproduce the entire technology chain in every country. Kazakhstan produced about 40% of the world’s mined uranium in 2025. Kazakh-origin material accounted for 28% of uranium delivered to U.S. civilian reactor operators that year, second only to Canada. Kazakhstan’s most immediate relevance is not semiconductor production, but its role as an energy, minerals and processing partner. Uranium is the clearest example, providing large-scale fuel supplies for the power systems on which expanding AI infrastructure depends. As TCA recently noted, Kazakhstan sits at the nexus of resources, processing capacity and connectivity, and its role extends beyond raw-material extraction. Ulba Metallurgical Plant produces uranium dioxide powders and nuclear-fuel pellets, along with beryllium, tantalum and niobium products. Kazakhstan also produces copper, titanium, silver, aluminum and zinc used across power, communications, aerospace and advanced manufacturing. Its position on the Middle Corridor also gives it a logistics role connecting Central Asian production with Caspian and European markets. Other contributions remain prospective. Eurasian Resources Group (ERG) plans a 15-tonne-a-year gallium facility backed by a long-term supply agreement with Mitsubishi, while a U.S.-supported tungsten project is moving forward with plans to mine and refine the...

opinion

Turkmenistan and the New Geopolitics of Silicon

Central Asia is not foreign to the emerging geopolitics of silicon and artificial intelligence (AI). Kazakhstan especially has made itself noticed, joining the US-led Pax Silica initiative in June and the Chinese-led World Artificial Intelligence Cooperation Organization (WAICO) in July. Kazakhstan is the only country participating in both initiatives, which is characteristic of Astana’s multi-vector diplomacy. Whilst other Central Asian states have joined WAICO, Turkmenistan, consistent with its permanent neutrality stance, has joined neither. Neutrality, however, does not prevent economic participation, and a case has to be made for Turkmenistan. Two Frameworks for International Cooperation Although both initiatives respond to the same underlying reality - the growing strategic importance of artificial intelligence - they differ in scope and emphasis. Pax Silica is built around the material and economic foundations of AI, focusing on securing and coordinating the physical supply chains that make computation possible and aiming implicitly to reduce reliance on China. WAICO, by contrast, is centered on the political and normative dimension of AI, prioritizing governance, safety standards, and international coordination, where Beijing could push its rhetoric in favour of open-source artificial intelligence as a model for AI development. Taken together, they reflect two complementary but distinct ways of structuring the emerging AI order: one rooted in industrial capacity and supply-chain control, the other in multilateral rules. On that matter, Turkmenistan's possible relevance does not lie in software, semiconductor fabrication or AI regulation, but much further upstream: silicon metallurgy. From Gas to Silicon Silicon is abundant in nature, but transforming it into industrial materials is an energy-intensive process. Quartz or quartzite is used to produce both silicon ferroalloys and silicon metal. Ferrosilicon is principally consumed by the iron and steel industries, where it serves as a deoxidizing and alloying agent. Silicon metal, meanwhile, is used in aluminum alloys and chemical production, while a small share is further purified into the extremely high-purity silicon required by the semiconductor industry. Ferrosilicon should not be presented as a material that goes directly into AI chips. But establishing competitive ferrosilicon production can constitute a first industrial step into the broader family of silicon metallurgy. And Turkmenistan has already begun considering precisely that. In 2020, the Turkmen authorities reported that the Ministry of Industry was studying the production of metallurgical-grade silicon using local resources. Practical tests had already been conducted using quartz sand, metal mixtures and petroleum coke, while the government presented the development of domestic mineral resources as part of a broader strategy of industrialization and export diversification. The ambition became more concrete in January 2024. Turkmenistan's Ministry of Industry and Construction Production launched an international tender for a feasibility study for a ferroalloy plant intended to manufacture ferrosilicon, silicon carbide, and technical silicon. A 2024 feasibility study for such a project envisions a plant in Balkan Velayat capable of producing 15,000 tons of FeSi75 ferrosilicon annually. The proposed complex would operate two 12,500 kVA furnaces. Rather than depending exclusively on domestic raw materials, the study envisages sourcing quartzite from nearby Iran and...