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AI & Data

Kazakhstan Deploys 400 NVIDIA GPUs to Accelerate Its AI Ecosystem

Kazakhtelecom has deployed 400 NVIDIA H200 GPUs and 480 NVIDIA B300 GPUs in the cities of Astana and Almaty. These infrastructures, combined with collaborations such as the one between inDrive and Pony.ai for autonomous robotaxis, strengthen Kazakhstan’s ability to develop large-scale AI solutions. The country is betting on a concrete transition from planning to actual deployment, with a focus on integrating local players.

by Lawing Tech Newsroom (2 min read)

Kazakhstan Deploys 400 NVIDIA GPUs to Accelerate Its AI Ecosystem

A Massive Deployment of NVIDIA GPUs to Support AI

Kazakhtelecom has completed the installation of 400 NVIDIA H200 graphics processors and 480 NVIDIA B300 GPUs in the data centers of Astana and Almaty, according to NVIDIA’s official blog. This equipment, specifically designed for AI workloads, marks a decisive step in turning Kazakhstan’s AI ambitions into reality. The country is thus moving from a planning phase to an operational deployment phase, covering the entire AI value chain.

Kazakhstan transitions from a planning phase to operational deployment covering the entire artificial intelligence value chain.

Kazakhstan Expands Compute for Its AI Future
Image: Kazakhstan Expands Compute for Its AI Future (NVIDIA Blog, official image)

inDrive-Pony.ai Collaboration: Toward Autonomous Robotaxi Services in Astana

Kazakhstan is also exploring the integration of autonomous technologies through the collaboration between inDrive and Pony.ai, two major players in smart mobility. Their partnership aims to test the feasibility of a robotaxi service in the capital, Astana, using Pony.ai’s seventh-generation autonomous vehicles, compatible with the inDrive application. These services will be supported by NVIDIA’s infrastructure, including the Hyperion platform for sensors and computing, as well as the Halos security system. This initiative could serve as a model for other cities in the country and the region.

Astana
Illustration: Astana (Kurmanbek, Public domain)

What This Means Here: Opportunities for African Technological Ecosystems

For businesses and administrations in Benin and West Africa, this deployment in Kazakhstan offers insights into how to structure a high-performing AI ecosystem. The integration of computing infrastructures with local stakeholders, such as universities, startups, and industries, could inspire similar strategies to accelerate AI adoption. For example, partnerships between telecom operators and international technology players, as observed here, could facilitate access to advanced computing resources, essential for digital transformation or industrial innovation projects.

Furthermore, the focus on concrete applications, such as autonomous mobility, could encourage African countries to explore use cases tailored to their specific challenges while leveraging proven technologies. Finally, the creation of dedicated hubs, like the Data Center Valley, could serve as a benchmark for local initiatives aiming to centralize resources and attract investments in digital infrastructures.

Almaty
Illustration: Almaty (Leonid 2, Public domain)

Sources

  1. Kazakhstan Expands Compute for Its AI FutureNVIDIA Blog, 23 October 2026

Prepared by Lawing Tech's technology watch from the sources cited. Our editorial charter

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