Kazakhstan Expands AI Infrastructure as NVIDIA Partnerships Accelerate National AI Ambitions
Kazakhstan is moving from planning to implementation in its artificial intelligence ambitions, with new investments in accelerated computing, AI infrastructure and locally developed applications. Recent announcements highlight the country’s efforts to build a complete AI ecosystem spanning computing infrastructure, language models, startups and industry-specific technologies.
The developments coincided with a visit to Astana on October 23 by NVIDIA founder and CEO Jensen Huang, who met with Kazakhstan President Kassym-Jomart Tokayev at the Akorda Presidential Palace. Huang also joined Deputy Prime Minister Zhaslan Madiyev, Kazakhstan’s minister of AI and digital development, for a public discussion at Alem.AI, the country’s international center for artificial intelligence.
The announcements reflect Kazakhstan’s broader strategy to expand access to advanced computing, support domestic AI development and apply the technology across sectors including manufacturing, mining, agriculture, transportation and logistics.
NVIDIA and Kazakhstan Discuss the Future of AI
During the fireside chat at Alem.AI, Madiyev and Huang discussed the infrastructure, talent and technology required to establish Kazakhstan as a regional AI hub.
One of the country’s priorities is developing AI models that understand the Kazakh language and reflect its cultural context. Madiyev emphasized the importance of creating systems that can communicate naturally in Kazakh while accounting for the country’s cultural characteristics and local knowledge.
Huang highlighted Kazakhstan’s energy resources as a potential foundation for AI infrastructure. He suggested that the country could move beyond exporting energy in its traditional forms by using electricity to power advanced computing systems and produce AI services for international markets.
“Instead of just exporting energy, in the future, you could transform energy into intelligence and export intelligence,” Huang said.
He also emphasized the strategic importance of local data, describing it as a resource that reflects a country’s history, culture and values. Developing domestic AI capabilities, he argued, gives nations greater opportunities to build technology suited to their own needs.
The discussion also explored physical AI, which combines artificial intelligence with robotics and other systems that interact with the real world. Kazakhstan’s mining operations, factories, farms and transportation networks could provide opportunities to develop and train models for industrial automation and robotics.
Huang described physical AI as an opportunity to transform industries such as mining, mineral processing and agriculture. He also encouraged young people to understand how AI works, rather than learning only how to operate existing tools.
Investment in AI Infrastructure Expands
A major development accompanying Huang’s visit was the signing of an investment agreement between Firebird and the government of Kazakhstan at the Akorda Presidential Palace.
Building on its first AI factory in Armenia, Firebird is expanding into Kazakhstan after securing a U.S. export license for 45,000 NVIDIA Grace Blackwell GPUs. The company’s first phase is under construction in partnership with Kazakhtelecom at Data Center Valley, with commercial operations targeted for the third quarter of 2027.
A planned second phase could bring Firebird’s total potential AI infrastructure capacity in Kazakhstan to approximately 500 megawatts.
The company also plans to establish Firebird Labs Kazakhstan to support local startups, research initiatives and talent development. The proposed initiative will focus on providing funding, access to computing resources and opportunities for research partnerships.
Razmig Hovaghimian, co-founder and CEO of Firebird, said the investment had developed rapidly from an initial idea into a major commitment to Kazakhstan’s AI ambitions.
He credited President Tokayev’s vision with encouraging the company to pursue a larger project and said the infrastructure would help local talent and ideas reach international markets.
Kazakhtelecom Strengthens Computing Capacity
Kazakhtelecom, Kazakhstan’s largest telecommunications company, is also expanding its AI computing capabilities.
The company has already deployed 400 NVIDIA H200 GPUs and 480 NVIDIA B300 GPUs across facilities in Astana and Almaty. These systems provide computing resources for AI development and other demanding workloads.
For 2027, Kazakhtelecom plans to deploy more than 1,000 additional GPUs at Data Center Valley. It also plans to introduce more than 1,000 NVIDIA Vera Rubin GPUs in the Ekibastuz region.
The planned deployments are intended to serve a broad range of users, including enterprises, developers and research institutions. Increasing the availability of advanced computing could help organizations train and fine-tune models, run AI applications and develop services without relying entirely on infrastructure located abroad.
Together, the Firebird and Kazakhtelecom initiatives represent different elements of Kazakhstan’s strategy to build a larger domestic computing foundation. Their success will depend not only on hardware deployment but also on energy availability, operational capabilities, software development and demand from businesses and researchers.
NVIDIA Invests in Kazakhstan-Founded Startup Higgsfield AI
The country’s AI startup ecosystem is also developing alongside its expanding infrastructure.
During the event, NVIDIA announced an investment in Higgsfield AI, a Kazakhstan-founded startup focused on generative media applications. Huang praised the company’s founders for their ambition and their efforts to compete internationally.
He emphasized the importance of supporting talented people, saying investment in founders and their capabilities is fundamental to building successful technology companies.
Higgsfield is also expanding its AI infrastructure using NVIDIA Vera Rubin systems through cloud service providers. The additional computing capacity is intended to support the company’s growing models, products and customer demand for generative media tools.
The development illustrates how infrastructure investment and startup growth can reinforce one another. More computing capacity gives companies additional resources to develop and deliver AI products, while successful products create further demand for advanced computing.
Exploring Robotaxi Services With Pony.ai
Kazakhstan’s AI ambitions extend beyond cloud computing and generative AI into transportation.
Ride-hailing company inDrive and autonomous driving technology company Pony.ai are collaborating to explore the feasibility of introducing robotaxi services in Kazakhstan, with Astana identified as the initial deployment city.
The companies will assess the possibility of integrating Pony.ai’s seventh-generation robotaxis into the inDrive application. The proposed service would use NVIDIA AI infrastructure, including the NVIDIA Hyperion sensor and computing platform and the NVIDIA Halos safety system.
The initiative remains an exploration of potential deployment rather than confirmation of a fully operational robotaxi service. Its progress will depend on technical feasibility, safety requirements, local operating conditions and other implementation considerations.
If developed further, the project could provide a pathway for applying AI technologies to urban mobility and transportation services.
AI Safety and Responsible Development
AI security was another topic addressed during Huang’s discussion with Kazakhstan’s technology community.
Huang stressed the importance of developing and deploying AI responsibly. He highlighted NVIDIA OpenShell as a way to contain AI agents by restricting their access to files and tools while monitoring their activities.
Such controls are increasingly relevant as AI agents become capable of performing more complex tasks and interacting with software systems. Effective safeguards can help organizations manage permissions, monitor behavior and reduce risks associated with automated actions.
Huang also encouraged students and aspiring developers to learn the principles behind AI, including its strengths and limitations. He argued that understanding the technology would help young people adapt as AI changes industries and creates new opportunities.
Building a Connected AI Ecosystem
Beyond the formal announcements, Huang and the NVIDIA team met with hundreds of developers from across Kazakhstan during an evening reception. The gathering highlighted the role of local talent, research communities and entrepreneurs in translating infrastructure investment into useful applications.
President Tokayev also presented Huang with an honorary judo black belt and the Order of Dostyk, First Class. The latter recognizes contributions to the development of artificial intelligence in Kazakhstan, with Dostyk meaning friendship and the order symbolizing peace, cooperation and friendship.
Kazakhstan’s AI strategy now encompasses several connected priorities: expanding accelerated computing, developing language models that reflect local culture, supporting startups, exploring industrial robotics and autonomous transportation, and strengthening technical skills.
The latest announcements indicate that the country’s AI ecosystem is moving toward broader deployment. However, long-term progress will depend on connecting computing infrastructure with universities, developers, businesses and industries that can turn technical capacity into practical results.
By aligning infrastructure investment with local innovation and real-world applications, Kazakhstan aims to establish a foundation for AI-driven economic development and participate more actively in the global AI industry.
Source Link: https://blogs.nvidia.com/