Firebird Deploys NVIDIA AI Factories in Central Asia
The startup is scaling its cloud infrastructure using Blackwell GPUs to support AI development across the region.
Updated on Oct. 22, 2026 in Artificial Intelligence
Live Poll
Does the expansion of global AI infrastructure improve the economic outlook for developing nations?
NVIDIA CEO Jensen Huang showcased cloud startup Firebird during the GTC conference in Berlin, highlighting the company's deployment of AI infrastructure in Central Asia. Firebird has already established an AI factory in Armenia equipped with 6,144 NVIDIA Blackwell B200 GPUs.
Why it matters
As the demand for localized large-scale computing power grows, firms are expanding infrastructure into emerging markets to meet the resource requirements for training and deploying AI models.
The current Armenian facility houses 6,144 NVIDIA Blackwell B200 GPUs. The company plans to scale this infrastructure significantly, targeting a total capacity of approximately 70,000 GPUs across its international network.
The players
Jensen Huang
The CEO of NVIDIA, a company that designs graphics processing units and systems-on-a-chip for the artificial intelligence and gaming markets.
Firebird
A cloud computing provider building AI infrastructure networks across Central Asia and surrounding regions.
The details
Firebird constructs AI factories—specialized data centers optimized for high-performance computing—by integrating NVIDIA's Blackwell B200 architecture. The Blackwell platform uses a multi-die design to increase communication bandwidth between processors, which is critical for training large language models. The company intends to integrate NVIDIA's upcoming Vera Rubin systems to further enhance its computational throughput as it expands into Kazakhstan and Nepal.
Timeline
The NVIDIA GTC conference took place in Berlin on October 22, 2026.
The Tech Race
The deployment of 6,144 Blackwell GPUs underscores a growing trend of specialized cloud providers attempting to secure hardware access to compete in regional AI markets. This project represents a shift in infrastructure development as companies bypass traditional tech hubs to build localized AI factories.
Enterprises and developers operating in Central Asia may soon gain access to local high-performance computing resources once the Kazakhstan facility scales. The availability of these AI factories will be determined by the company's ability to procure additional NVIDIA hardware for its 70,000-unit goal.
The takeaway
The rapid scale-up of Firebird's AI infrastructure demonstrates how specialized cloud providers are moving to fill regional gaps in computing capacity. Observers should track the future deployment of Vera Rubin systems, which will confirm the company's ability to maintain its aggressive hardware roadmap.
Further reading
For broader trends in hardware and infrastructure, explore the Artificial Intelligence section.
Source note: This article includes information reported by Armenpress.
Live Poll
Does the expansion of global AI infrastructure improve the economic outlook for developing nations?
