Infrastructure Built
for AI at Scale
Access 40,000+ of the latest NVIDIA Blackwell GPUs across
purpose-built AI factories. Train, fine-tune, and serve.
Hyperscaler-grade GPU infrastructure for AI and
HPC workloads, powered by 40,000+ NVIDIA
Blackwell GPUs, from Armenia to the world.
Where the Future of AI Takes Flight
Firebird 1 debuts in Armenia in 2026, anchoring a globally connected AI platform built to scale across emerging markets.
NVIDIA Blackwell Architecture
Powered by NVIDIA's latest Blackwell architecture — from 6,000+ B200 GPUs in the first phase, scaling to 40,000+ GB300 GPUs at full buildout — optimized for state-of-the-art performance, efficiency, and scalability.
Global AI Connectivity
Designed to interconnect AI ecosystems worldwide, providing low-latency, high-bandwidth access for global customers and partners.
Resilient Facility Design
Engineered for extreme power density with liquid cooling and full redundancy — built alongside Schneider Electric and Vertiv.
Partnered with leaders in AI infrastructure
Firebird.ai is proud to partner with NVIDIA, Dell Technologies, Schneider Electric, and Vertiv to deliver
world-class GPU infrastructure powering advanced AI workloads.
Project Milestones and Coverage
Track our progress as we build 250 MW AI infrastructure
AI Startup Firebird Gets US Approval to Use Nvidia Chips in Armenian Data Center
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Firebird Secures U.S. Export License and Announces Dell as a Partner, Setting Major Milestones in Armenia's AI Future
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Firebird Announces Strategic Collaboration with the Government of Armenia and NVIDIA to Build a Next-Generation AI Cloud to Ignite Regional Innovation
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Nvidia makes big play for Europe with infrastructure deals
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NVIDIA DGX Cloud Lepton Connects Europe's Developers to Global NVIDIA Compute Ecosystem
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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.
Read More than infrastructure
Ecosystem to accelerate your path from research to production
Fleet Operations
A programmable layer over the entire fleet — provision bare metal, define your own networks, and monitor everything through a single API, so your team controls infrastructure without managing it.
Full bare-metal lifecycle over a single API — create, scale, and power-manage instances, deploy custom OS images with cloud-init, and keep nodes healthy with automated status reconciliation and API-driven breakfix.
Intent-based L2/L3 fabric orchestration with API-configured VPCs and multi-tenant isolation — software-defined private networks and movable IPs, backed by a BlueField-3 DPU on every GPU node for line-rate enforcement.
Full-stack metrics, logs, and traces — unified visibility from silicon to service mesh.
Data Centers
A purpose-built AI factory in Hrazdan, Armenia — a high-density, liquid-cooled site engineered for continuous, large-scale training and inference.
6K+ liquid-cooled NVIDIA B200 GPUs running today across 15 MW — production-ready sovereign compute, online now.
Scaling to 40K+ NVIDIA GB300 GPUs across an additional 125 MW by end of 2026 — built for the largest training and inference runs.
Core Infrastructure
A high-throughput, low-latency backbone purpose-built for AI and High Performance Computing workloads. Bare-metal performance with cloud-grade manageability.
Liquid-cooled NVIDIA GPU clusters — from B200 today to GB300 at scale — on NVIDIA reference architecture, delivered as pure bare metal with no virtualization overhead.
High-performance parallel storage from WEKA — block, NFS, and shared file systems tuned to keep thousands of GPUs saturated.
A non-blocking fat-tree fabric — 400 Gb/s InfiniBand east-west, 400 Gb/s Ethernet north-south — programmable through an SDN API for intent-based L2/L3 orchestration and API-configured VPCs, with a BlueField-3 DPU on every node for line-rate isolation.
Platform Services
Deploy and orchestrate workloads your way — Kubernetes, Slurm, or managed inference endpoints. Firebird handles the complexity so your teams can focus on models, not infrastructure.
Managed Kubernetes for containerized AI workloads, with GPU-aware scheduling and autoscaling — production clusters without the operational overhead.
Batch scheduling built for large-scale training — submit multi-node jobs across thousands of GPUs using the HPC workflow your researchers already know.
Managed endpoints for open-weights and foundation models — high-throughput, low-latency serving on shared or fully dedicated compute.
AI Services
Managed cloud and inference on sovereign infrastructure — from isolated private clouds to ready-to-serve AI models. Run your own environments, or call leading models through a high-throughput API, with the security and data controls enterprise workloads demand.
Isolated virtual private clouds with enterprise-grade security and dedicated resource allocation — provision virtual machines and full cloud environments on demand.
Virtual machines, block/shared file storage, advanced networking, K8s and Slurm orchestration, and built-in observability and audit — a complete cloud stack on bare-metal performance.
Standardized API access to industry-leading open-weights and foundation models, optimized for high-throughput inference across shared multi-tenant capacity.
Fully isolated inference endpoints running your own fine-tuned weights — dedicated compute, guaranteed low latency, and sovereign data-privacy controls.
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.
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.
Globally
Connected
Next-generation infrastructure with global connectivity
Starting in Armenia
To the region
- Lead the Caucasus in GPU compute (Phase 1)
- One of largest Al supercomputer in Europe (Phase 2)
- Become preferred compute partner for regional labs
To the world
- Bring Al compute to emerging markets globally
- Compete with hyperscalers on performance
- Develop proprietary IP by and for emerging markets