Kazakhstan Moves AI Plans Into Deployment With H200 and B300 GPUs
Kazakhstan's AI ecosystem is shifting from infrastructure plans to actual deployment, according to NVIDIA. Telecom operator Kazakhtelecom has already installed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs, and plans a much larger rollout next year.
- Kazakhtelecom has deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty.
- Next year it plans more than 1,000 GPUs in the Data Center Valley and more than 1,000 NVIDIA Vera Rubin GPUs in the Ekibastuz region.
- inDrive and Pony.ai will assess bringing seventh-generation robotaxis to the inDrive app, with Astana as the first city.
- NVIDIA says GPU counts alone do not define the opportunity, and that links to developers, universities, startups and industry matter.
Kazakhtelecom scales up GPU infrastructure
Kazakhtelecom, which NVIDIA describes as the nation's largest telecommunications company, has deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty.
The company has further plans for next year. It intends 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. According to NVIDIA, this infrastructure is meant to serve diverse workloads and be usable at scale by enterprises, developers and institutions.
NVIDIA frames the announcements as evidence of Kazakhstan's growing supply of accelerated computing, paired with rising demand for what comes next. The company says the shift is visible across the full AI stack, from infrastructure to models to applications.
inDrive and Pony.ai explore robotaxis in Astana
On the application side, NVIDIA points to AI-native companies that are building out their own compute capacity and the products that run on it. One example is a collaboration between inDrive and Pony.ai to explore robotaxi services in Kazakhstan, with Astana as the first deployment city.
The two companies will assess the feasibility of bringing Pony.ai's seventh-generation robotaxis to the inDrive app. The effort is supported by NVIDIA AI infrastructure and built on the NVIDIA Hyperion sensor and compute platform, together with the NVIDIA Halos safety system. The source describes this as a feasibility assessment, not a confirmed launch.
Compute, applications and demand feed each other
NVIDIA argues that 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.
The company also cautions that Kazakhstan's AI opportunity is not defined by GPU counts alone. In its view, connecting the infrastructure with developers, universities, startups and industries is what can turn accelerated computing into useful applications.
NVIDIA says the announcements represent different layers of the stack: infrastructure deployment, access to compute and AI-native product development. The post is part of NVIDIA's wider series of European announcements tied to Jensen Huang's GTC Berlin keynote.
What it means for Kazakhstan's AI market
For local developers, startups and institutions, the deployed H200 and B300 hardware means domestic access to accelerated computing is already in place, with a larger expansion planned for next year. The planned Vera Rubin deployment in Ekibastuz would add a newer GPU generation to that base.
Whether demand grows as NVIDIA expects will depend on how many applications, such as the proposed robotaxi service, move from exploration to production. The source gives no figures on pricing, access terms or timelines beyond the plans for next year.
NVIDIA: Kazakhstan Expands Compute for Its AI Future
