Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment.
The shift is visible across the full AI stack — from infrastructure to models to applications.
Together, the ecosystem announcements below point to the nation’s increasing supply of accelerated computing — along with its growing demand for what comes next.
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The Infrastructure Layer Is Scaling
Kazakhtelecom, the nation’s largest telecommunications company, has already deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty.
Next year, the company plans to deploy more than 1,000 GPUs in the Data Center Valley, along with more than 1,000 NVIDIA Vera Rubin GPUs in the Ekibastuz region, serving diverse workloads with infrastructure that enterprises, developers and institutions can use at scale.
AI-Native Companies Scale With Compute
The nation’s AI-native companies are also building out their compute capacity — and the applications that run atop them.
inDrive and Pony.ai are also collaborating to explore robotaxi services in Kazakhstan, with Astana as the first deployment city. The companies will assess the feasibility of bringing Pony.ai’s seventh-generation robotaxis to the inDrive app, supported by NVIDIA AI infrastructure, built on the NVIDIA Hyperion sensor and compute platform with the NVIDIA Halos safety system.
More local capacity gives developers and companies room to train, fine-tune and serve increasingly capable models. Successful applications, in turn, create demand for more compute.
Kazakhstan’s AI opportunity isn’t defined by GPU counts alone. Connecting that infrastructure with developers, universities, startups and industries can turn accelerated computing into useful applications.
Today’s announcements represent different layers of that stack — infrastructure deployment, access to compute and AI-native product development — where the AI foundation is reaching new scale.
Watch NVIDIA founder and CEO Jensen Huang’s GTC Berlin keynote in replay.
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