哈萨克斯坦的人工智能生态系统正在从基础设施计划转向部署。
这种转变在整个AI堆栈上可见——从基础设施到模型到应用。
以下的生态系统公告共同表明，国家加速计算的供应量正在增加，同时它对未来的需求也在增加。
基础设施层正在扩大
哈萨克电信公司是该国最大的电信公司，已经在阿斯塔纳和阿拉木图部署了400台NVIDIA H200和480台NVIDIA B300 GPU.
明年，公司计划在数据中心谷地部署1000多台GPU，同时在埃基巴图兹地区部署1000多台NVIDIA Vera Rubin GPU，为企业，开发商和机构提供规模化的基础设施服务，承担各种各样的工作量。
AI - 国营公司采用计算规模
国内的人工智能公司也在建立计算能力
以阿斯塔纳为首个部署城市，公司将评估将Pony.ai的第七代机器人轴带入由NVIDIA AI基础设施支持的InDrive应用程序的可行性，该软件建立在NVIDIA Hyperion传感器上，并与NVIDIA Halos安全系统计算平台。
更多的本地能力为开发商和公司提供了培训空间，微调，并服务能力日益增强的模型。 成功的应用反过来又产生了对更多计算的需求。
哈萨克斯坦的AI机会并非仅由GPU定义。 将基础设施与开发者、大学、初创企业和产业联系起来，可以将加速计算转化为有用的应用。
今天的公告代表了该堆的不同层面——基础设施的部署，计算和AI本土产品开发的获取——AI基金会正在达到新的规模。
在重播中观看NVIDIA创始人兼CEOJensen Huang的GTC柏林主题曲。
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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.
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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