Firebird Launches CIS Region’s Largest AI Factory in Armenia

Firebird has launched the CIS region's largest AI factory in Armenia, powered by NVIDIA accelerated computing and Dell Technologies high-performance AI infrastructure, with plans to deploy over 70,000 NVIDIA GPUs and 300 megawatts of AI infrastructure capacity by 2027. The AI factory is designed to provide computing capacity for training, fine-tuning, and deploying AI models at scale, and is expected to accelerate Armenia's development as a center for AI research and innovation. With a focus on energy efficiency, the AI factory integrates accelerated computing, networking, power, and cooling as one codesigned system, allowing it to run up to 40% more GPUs on the same footprint. This launch has significant implications for engineers building AI systems, as it provides a large-scale infrastructure for developing and deploying AI models.

⚡ Key Takeaways

• Firebird plans to deploy over 70,000 NVIDIA Rubin and Blackwell GPUs by 2027.
• The AI factory is built on the NVIDIA DSX platform, integrating accelerated computing, networking, power, and cooling as one codesigned system.
• The AI factory can run up to 40% more GPUs on the same footprint, producing more tokens per dollar and extracting more value from every megawatt of capacity.
• Schneider Electric provides the power infrastructure supporting Firebird's AI factory, including medium- and low-voltage switchgear and uninterruptible power supply systems.
• Vertiv provides a cooling architecture combining chilled-water technology, advanced controls, and Vertiv TrimCooler technology for efficient heat rejection.

The launch of Firebird's AI factory in Armenia provides a significant boost to the development of AI infrastructure in the region, and has implications for engineers building AI systems who require large-scale computing capacity. The focus on energy efficiency and the integration of accelerated computing, networking, power, and cooling as one codesigned system make this AI factory a notable exampl

✅ Practical Steps

1. Evaluate the potential of Firebird's AI factory for deploying and scaling AI models.
2. Consider the energy efficiency and cost-effectiveness of integrating accelerated computing, networking, power, and cooling as one codesigned system.
3. Investigate the use of NVIDIA DSX platform and NVIDIA Rubin and Blackwell GPUs for building and deploying AI infrastructure.

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