
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.
The Platform
Where the future of AI takes flight
A globally connected AI platform, pairing latest-generation NVIDIA compute with resilient facilities and low-latency links to major AI hubs, built to scale across emerging markets.
Every Firebird site deploys the newest NVIDIA platforms, from Blackwell today to Rubin and beyond, so customers in every market build on current-generation compute.
Purpose-built facilities engineered for resilience: redundant power, high-density liquid cooling, and 24/7 operations designed for continuous AI workloads.
A low-latency global network connecting Firebird facilities to major AI hubs, enabling seamless access for customers anywhere in the world.
Partners and Vendors
Built on a proven foundation
Firebird is built with the same vendors that power the world's largest AI deployments.
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’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.”
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.
Join Cloud WaitlistDedicated 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 MetalGlobally
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