Kazakhstan and Armenia are planning to deploy 250 MW of NVIDIA AI infrastructure over the next 12 months. NVIDIA CEO Jensen Huang described the initiative as not only a technological milestone, but also an economic opportunity capable of attracting new companies and investments. The project is being implemented by Firebird. The new infrastructure is expected to be accessible to researchers, startups, industrial companies, and government institutions.
According to Jensen Huang, computing power for artificial intelligence is becoming one of the core pillars of modern economies, similar to electricity and the internet. The reason is simple: training and running modern AI models requires massive GPU resources. Without such capacity domestically, companies become dependent on foreign cloud providers and data centers. Huang views this as a long-term strategic issue. In his opinion, countries should not only consume AI services from abroad but also build their own computing infrastructure.
250 MW is not a typical data center project. At this scale, the infrastructure can support large AI clusters, model training, and compute-intensive industrial workloads. For Kazakhstan, the key factor is not just the number of GPUs, but the fact that computing power is being localized within the country. This can impact several areas:
- AI startups can become less dependent on expensive foreign computing resources;
- universities and research centers can gain access to large-scale AI computing;
- companies can develop and deploy AI solutions locally;
- new opportunities can emerge for global technology companies operating in the region;
- the development of AI-driven services and startups may accelerate.
One of Huang’s key points is that the new infrastructure can act as a catalyst for local startups. In today’s AI economy, a strong idea is not enough. Training models, fine-tuning, inference, and large-scale data processing all require significant computing power. If these resources are available domestically, the path from an idea to a market-ready product can become significantly shorter. Strong AI infrastructure could also attract foreign technology companies. Huang described this as a “magnet” — companies may come not only because of the local market, but also because they can access powerful computing infrastructure.
For Kazakhstan, the project is about more than building another data center. Access to large-scale computing power could strengthen the country’s position as a technology hub in Central Asia. AI infrastructure can support the development of industries such as fintech, logistics, energy, manufacturing, healthcare, and public services. This means AI data centers could gradually become more than technological assets. They may become a new factor of economic competitiveness, similar to how digital connectivity and financial infrastructure influence where companies choose to operate.
However, building the infrastructure is only the first step. The long-term impact will depend on whether Kazakhstan can develop a strong ecosystem around it — including engineers, researchers, startups, investors, and companies capable of using these resources effectively. If infrastructure development and talent development move forward together, the planned 250 MW AI capacity could become more than a large GPU cluster. It could serve as a foundation for a new AI-driven technology ecosystem in Central Asia.
