Summary
- NVIDIA announced that AI cloud company Firebird has brought online the largest AI factory in the CIS region, located in Hrazdan, Armenia.
- Firebird plans to deploy more than 70,000 NVIDIA Rubin and Blackwell GPUs and build out 300 megawatts of infrastructure by the end of 2027.
- NVIDIA, which invested in CoreWeave earlier this year, has now signaled its intent to invest in Firebird as well, with Perplexity cited as an early customer.
CIS region's largest AI factory built in Hrazdan
NVIDIA announced on its official blog that AI cloud company Firebird has brought online the largest AI factory in the CIS (Commonwealth of Independent States) region, located in Armenia. Built on NVIDIA accelerated computing and Dell Technologies' high-performance AI infrastructure, the facility reflects an ambition to position Armenia as a new AI computing hub.
The opening ceremony was attended by Armenian Prime Minister Nikol Pashinyan, Kazakh Deputy Prime Minister Zhaslan Madiyev, and David Allen, U.S. Chargé d'Affaires to Armenia — underscoring the project's character as a national-level infrastructure initiative.
Notably, the pace of construction stands out. According to NVIDIA, the facility was built and moved into operation in roughly six months — an unusually fast timeline for an AI data center that requires large-scale power and cooling systems.
70,000 GPUs and 300 megawatts by 2027
Firebird has laid out plans to deploy more than 70,000 NVIDIA Rubin and Blackwell GPUs in Armenia and build out 300 megawatts of AI infrastructure capacity by the end of 2027.
| Item | Detail |
|---|---|
| Target date | End of 2027 |
| GPU volume | 70,000+ NVIDIA Rubin/Blackwell units |
| Power capacity | 300MW |
| Initial build time | Roughly 6 months |
| Long-term roadmap | ~2GW across Armenia, Kazakhstan, and other markets |
At this scale, power efficiency becomes a critical variable. Firebird's AI factory is built on the NVIDIA DSX platform, which integrates accelerated computing, networking, power, and cooling into a single co-designed system. NVIDIA said applying DSX can enable up to 40% more GPUs to be operated within the same footprint, boosting tokens produced per dollar and value per megawatt. This figure is based on NVIDIA's own materials and has not been independently verified.
Partners behind the power and cooling systems
Power infrastructure at the Hrazdan site was handled by Schneider Electric. NVIDIA said the company rapidly supplied key equipment — including medium- and low-voltage switchgear, three-phase uninterruptible power supplies (UPS), and rack enclosures — to meet the compressed construction timeline.
Cooling was handled by Vertiv. The system combines chilled water technology with advanced control systems and Vertiv TrimCooler technology, with the iCOM CWM chilled water management system centrally coordinating cooling resources to improve responsiveness to fluctuating AI workloads.
| Partner | Role |
|---|---|
| NVIDIA | Accelerated computing, networking, AI software, DSX reference architecture |
| Dell Technologies | High-performance AI server infrastructure |
| Schneider Electric | Switchgear, UPS, rack enclosures, and other power equipment |
| Vertiv | Chilled-water-based cooling architecture and controls |
Capital from NVIDIA and CoreWeave lining up
Firebird also announced that NVIDIA has expressed intent to invest in the company. Earlier this year, CoreWeave reportedly made an investment first. Specific investment amounts or terms have not been disclosed.
Firebird's plans extend beyond a single site. With NVIDIA's backing, the company is pursuing an AI infrastructure roadmap of roughly 2 gigawatts spanning Armenia, Kazakhstan, and additional markets — a strategy aimed at securing large-scale compute clusters in frontier markets.
The shift of AI infrastructure investment toward a national-level competitive axis is worth following alongside related AI infrastructure and semiconductor coverage on metallab.ai.
Sovereign AI demand and early customers
NVIDIA framed the project against a backdrop in which, even as AI services become available worldwide, countries need their own capabilities to develop and operate AI tailored to their languages, industries, and national priorities. Firebird's AI factory is positioned to provide computing resources to local developers, startups, enterprises, universities, and public institutions.
Early demand is coming from AI-native companies. NVIDIA said Perplexity is working with Firebird to secure high-performance infrastructure for operating its AI agent platform and answer engine. However, details such as contract size and usage terms have not been disclosed.
This report is based on a single source — NVIDIA's blog — and readers should note that the deployment volumes and power capacity figures cited are all future targets rather than confirmed current figures.
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