DC-1 opening in August 2026

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Infrastructure Built for AI at Scale.Training.Inference.

Purpose-built data centers on NVIDIA reference architecture. Bare-metal and cloud GPU capacity, delivered where the grid can actually power it.

3X

Purpose-built DCs

150KGPUs

NVIDIA reference architecture

400MW

Total Capacity

5TiB/s+

Interconnect bandwidth

Meet the Flagship AI Factory

Firebird's first AI Factory in Armenia anchors a global platform built to scale across emerging markets. It connects AI ecosystems worldwide with low-latency, high-bandwidth access, engineered for extreme power density, full redundancy, and fault tolerance.

Firebird AI factory in the Armenian highlands

Partners and Vendors

Built on a proven foundation

Firebird is built with the same vendors that power the world's largest AI deployments.

NVIDIA Dell Technologies Schneider Electric Vertiv

Ecosystem

More than infrastructure

Ecosystem to accelerate your path from research to production

Control Plane

Manage the full bare-metal lifecycle, from first provision to automated remediation, through one API built for GPU fleets.

Provisioning API

Create, scale, and power-manage bare-metal instances over one API.

Network Fabric API

Automated network fabric orchestration with declarative, hardware-isolated multi-tenant L2/L3 networking, private networks, and movable IPs.

Observability

Fleet-wide observability from silicon to service mesh, with unified telemetry, metrics, and automated breakfix.

Data Centers

A growing network of purpose-built, liquid-cooled AI factories, scaling to 150,000 GPUs for large-scale AI training and inference.

DC-1

Our flagship AI factory in Armenia, powered by 6,144 NVIDIA B200 GPUs across 15 MW.

DC-2

Phase 2 expansion in Armenia: 75,000 NVIDIA VR200 GPUs across 125 MW.

DC-3

A planned 75,000-GPU NVIDIA VR200 site across 125 MW.

Core Infrastructure

A high-throughput, low-latency backbone purpose-built for AI and High Performance Computing workloads. Bare-metal performance with cloud-grade manageability.

Compute

A liquid-cooled fleet of NVIDIA B200 GPUs today, with next-generation VR200 next — built on the NVIDIA reference architecture for large-scale AI and HPC.

Storage

High-performance parallel storage — block, NFS, and shared file systems tuned to keep thousands of GPUs saturated.

Networking

A non-blocking fabric — InfiniBand east-west, Ethernet north-south — programmable through an SDN API for intent-based L2/L3 orchestration, with a BlueField-3 DPU on every node for line-rate isolation.

Platform Services

Flexible workload orchestration with Kubernetes, Slurm, and managed inference endpoints.

Kubernetes

Managed Kubernetes for containerized AI workloads with GPU-aware scheduling and autoscaling for production-ready clusters.

Slurm

Batch scheduling for large-scale AI training with multi-node job orchestration across thousands of GPUs using familiar HPC workflows.

Inference

Managed inference endpoints for open-weight and foundation models with high-throughput, low-latency serving on shared or dedicated compute.

AI Services

Managed cloud and inference on sovereign infrastructure, from private and public cloud environments to high-throughput model endpoints.

Firebird Cloud

Multi-tenant GPU cloud powered by Firebird AI factories with on-demand NVIDIA Blackwell GPUs.

Managed Inference

Managed inference endpoints for leading open-weight and foundation models with high-throughput APIs and no infrastructure to manage.

Newsroom

Explore the latest

Track our progress as we build Armenia's 15 MW AI infrastructure

Firebird and the Government of Kazakhstan Sign Strategic Agreements to Advance National AI Infrastructure
Firebird’s AI Megaproject Enters Final Stage of Phase One Construction
Firebird, OpenAI, and Armenia’s Ministry of Education Partner to Bring AI Access to 50,000 Students and Launch Firebird Labs
Firebird and U.S. Government Announce Phase 2 of Armenia AI Megaproject, Scaling it to $4 Billion and 50,000 GPU in 2026
AI Startup Firebird Gets US Approval to Use Nvidia Chips in Armenian Data Center
Firebird Secures U.S. Export License and Announces Dell as a Partner, Setting Major Milestones in Armenia’s AI Future
Firebird, Inc. Secures U.S. Export License and Announces Dell Technologies as a Partner, Marking Major Milestones in Armenia’s AI Future
Firebird Announces Strategic Collaboration with the Government of Armenia and NVIDIA to Build a Next-Generation AI Cloud to Ignite Regional Innovation
Nvidia makes big play for Europe with infrastructure deals
NVIDIA DGX Cloud Lepton Connects Europe’s Developers to Global NVIDIA Compute Ecosystem
“AI factories are the infrastructure of the 21st century. Our collaboration with Armenia will help build foundational AI capacity and unlock new opportunities for innovation and economic growth across the region.”
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Secure Your Spot

Secure early access to on-demand GPU compute or dedicated servers designed to scale.

On-Demand Compute for AI Workloads

Elastic, high-performance cloud GPU platform

Access NVIDIA AI-accelerated GPU resources through a consumption-based model. Train and deploy your models without the burden of managing your own NVIDIA GPUs and associated infrastructure costs.

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Dedicated GPU Servers for Maximum Performance

Reserve early access to physical GPU infrastructure.

Get full control over your compute with single-tenant bare metal deployments. Ideal for high-throughput AI, inference at scale, or latency-sensitive enterprise workloads.

Request Bare Metal

Globally
Connected

Next-generation infrastructure with global connectivity

Starting in Armenia

AI vehicle for Armenia to serve its domestic AI compute demand, and open up 90% of the compute to US companies in the region.

To the region

  • Lead the Caucasus in GPU compute (Phase 1)
  • One of largest AI supercomputer in Europe (Phase 2)
  • Become preferred compute partner for regional labs

To the world

  • Bring AI compute to emerging markets globally
  • Compete with hyperscalers on performance
  • Develop proprietary IP by and for emerging markets