OFICIAL NVIDIA Blog

Kazakhstan Expands Compute for Its AI Future

What happened
Based on NVIDIA Blog · Oct 23, 2026

Kazakhstan advances its AI ambitions with expanded compute infrastructure, including a new AI factory and partnerships to support startups and research.

Kazakhstan Expands Compute for Its AI Future
NVIDIA Blog — NVIDIA
Key points
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Firebird secures U.S. export license for 45,000 NVIDIA Grace Blackwell GPUs for Kazakhstan deployment
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Kazakhtelecom deploys 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty
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Firebird plans to establish Firebird Labs Kazakhstan to support local AI startups and research

Kazakhstan is transitioning from planning to deploying AI infrastructure, with progress spanning the entire AI stack. The country is expanding its supply of accelerated computing resources while fostering demand through local development. Firebird, which operates an AI factory in Armenia, is entering Kazakhstan with a U.S. export license for 45,000 NVIDIA Grace Blackwell GPUs. The first phase, built with Kazakhtelecom at Data Center Valley, is scheduled for commercial launch in the third quarter of 2027.

Kazakhtelecom, Kazakhstan’s largest telecommunications provider, has already deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty. These deployments support local AI-native companies in training, fine-tuning, and serving advanced models. The infrastructure expansion aims to meet growing computational demands from domestic developers and industries.

Firebird plans to establish Firebird Labs Kazakhstan to support local AI startups, research institutions, and talent development. The initiative will provide funding, access to compute resources, and research partnerships to strengthen the ecosystem. A second phase of Firebird’s infrastructure could bring total potential AI capacity in Kazakhstan to approximately 500 megawatts.

Kazakhstan’s AI progress is not solely measured by GPU deployments but by connecting infrastructure with developers, universities, and industries. The announcements highlight efforts across infrastructure, access to compute, and AI-native product development, signaling a broader push to scale the nation’s AI capabilities.

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