Firebird AI
- Company typePrivate
- Founded2025
- HeadquartersSan Francisco, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
Firebird AI firmographics
Firmographics- Name
- Firebird AI
- Legal name
- Firebird, Inc.
- Website
- https://firebird.ai
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Ownership category
- akta.pro rank
Firebird AI industry classification
Industry- Product category
- Cloud GPU Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- GPU/Accelerator Compute Servers (HDABADAC), AI Server Systems & HGX/Accelerator Platforms (HDAAAAAB), GPU-Accelerated & AI Training/Inference Servers (HDACABAG), Graphics & Accelerator Cards (GPUs, compute accelerators) (HDACAGAA)
Keywords
Where Firebird AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices4 records
Markets served
Firebird AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D
Revenue model
- On-Demand GPU Compute: Elastic, consumption-based cloud GPU platform providing access to NVIDIA AI-accelerated GPU resources. Customers pay based on usage without managing their own GPU infrastructure.
- Dedicated GPU Servers: Single-tenant bare metal GPU infrastructure for maximum performance. Ideal for high-throughput AI, inference at scale, or latency-sensitive enterprise workloads. Reserved early access available.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | On-Demand GPU Compute - Elastic cloud GPU platform with consumption-based billing |
| Subscription | Multi-year contract | Dedicated GPU Servers - Single-tenant bare metal for maximum performance |
Go-to-market motion2 records
Distribution channels3 records
Marketing channels5 records
Firebird AI product offering
Product offeringCore offering
Firebird AI builds and operates hyperscaler-grade GPU cloud infrastructure powered by approximately 50,000 NVIDIA Blackwell GB300 GPUs, anchored by Firebird 1 in Armenia and expanding into Kazakhstan. It sells on-demand, consumption-based GPU compute and dedicated single-tenant bare metal GPU servers for AI training, inference, and high-performance computing workloads to enterprises, research institutions, technology companies, and governments.
Product overview
Firebird AI operates as a hyperscaler-grade GPU cloud infrastructure provider offering two primary service models: on-demand compute (consumption-based cloud GPU access) and dedicated GPU servers (single-tenant bare metal). The company operates Firebird 1 in Armenia (debuting 2026) with approximately 50,000 NVIDIA Blackwell GB300 GPUs, scaling to 250 MW by 2027. Firebird Labs provides an innovation platform for robotics, aerospace, and life sciences ventures. The company is expanding into Kazakhstan via the Data Center Valley project. The infrastructure supports enterprise LLM inference, research applications, and AI education initiatives.
Differentiator
Problem solved
Functional benefit
Brands
- Firebird Labs: An innovation platform that invests in, incubates, and co-develops high-ambition technical ventures across robotics and physical AI, aerospace, and life sciences. Targets five ventures per year and provides AI access to 50,000 students, teachers, and researchers in Armenia through partnership with OpenAI and the Ministry of Education.
Products and services
- On-Demand GPU Compute Elastic, consumption-based cloud GPU platform providing access to NVIDIA AI-accelerated GPU resources without managing own infrastructure. Designed for enterprise AI workloads, research institutions, and technology companies needing scalable GPU compute on demand.
- Dedicated GPU Servers Single-tenant bare metal GPU infrastructure providing full control over compute for maximum performance. Ideal for high-throughput AI training, inference at scale, or latency-sensitive enterprise workloads. Reserved via direct request for early access customers.
Quantifiable outcome
- Projected at least $3 billion in annual export revenue from Kazakhstan Data Center Valley
- +4 more outcomes
Companies that use Firebird AI
Customer profileNamed customers5 records
Segments5 records
Ideal customer profiles3 records
Firebird AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability5 records
Feature6 records
Firebird AI partnerships and signals
Strategic signalPartnerships
Eleven partnerships are on record, tiered core and supporting.
- Government of KazakhstancoreGovernment of Kazakhstan signed $10 billion cooperation agreements with Firebird and NVIDIA for Data Center Valley project in Ekibastuz. Kazakhstan will handle construction while Firebird supplies server equipment. Project targets 1 GW capacity for Central Asia's largest AI computing hub.
- OpenAIcoreOpenAI partnered with Firebird and Armenia's Ministry of Education to provide AI access to 50,000 students, teachers, and researchers. OpenAI provides technology access, API credits, and technical support. Together they launched Firebird Labs innovation platform.
- Armenian Ministry of Education, Science, Culture and SportcoreGovernment ministry partnered with Firebird and OpenAI to bring AI access to 50,000 students, teachers, and researchers. Partnership includes launch of Firebird Labs innovation platform for robotics, aerospace, and life sciences ventures.
- NVIDIAcoreNVIDIA is Firebird's primary technology partner providing GB300 GPUs and Blackwell architecture. Partnership includes joint AI infrastructure development in Armenia and Kazakhstan, with NVIDIA VP Rev Lebaredian participating in government agreements. Firebird has secured U.S. export licenses for NVIDIA chips.
- Dell TechnologiescoreDell Technologies provides PowerEdge high-performance AI servers for Firebird's infrastructure. Partnership announced in November 2025 as Firebird secured U.S. export authorization for Armenia AI infrastructure.
- Team GroupsupportingTeam Group is mentioned as a partner in the initial $500 million AI factory and data center announcement in Armenia, along with the Armenian government, NVIDIA, and Firebird.
- Schneider ElectricsupportingSchneider Electric is listed as a partner providing infrastructure solutions for Firebird's GPU computing facilities.
- VertivsupportingVertiv is listed as a partner providing infrastructure solutions for Firebird's GPU computing facilities.
- Government of ArmeniacoreArmenian government partnered with Firebird for AI megaproject. PM Nikol Pashinyan has been personally involved in leadership, with government support enabling U.S. export licenses and regulatory approvals.
- Enterprise ArmeniasupportingEnterprise Armenia has been actively engaged in supporting the Firebird-Armenia partnership, contributing to the public-private collaboration between U.S. and Armenian governments.
- AI9 Startup CampussupportingAI9 Startup Campus partnered with Firebird to provide operational infrastructure, physical workspace, and ecosystem support for Firebird Labs ventures.
Scale indicators14 records
Recent moves9 records
Expansion highlights7 records
Firebird AI competitors and assessment
Company assessmentOthers
- Vast Data: Vast Data provides AI-scale data platform and storage infrastructure that often pairs with GPU clusters in AI factories. While not a direct GPU cloud competitor, it is an enabling technology supplier that complements Firebird's petabyte-scale storage architecture.
Direct peers
- CoreWeave: CoreWeave is a hyperscaler-grade GPU cloud provider offering on-demand and reserved NVIDIA GPU compute for AI training and inference. It is the most direct comparable to Firebird's cloud GPU platform, though CoreWeave operates primarily in the US and Europe with a more mature customer base.
- Lambda Labs: Lambda is a GPU cloud and deep learning workstation company providing NVIDIA-powered cloud clusters and dedicated servers for AI workloads. Comparable to Firebird across both its on-demand and dedicated bare metal offerings, though Lambda focuses on the US market.
- Nebius: Nebius is an AI infrastructure company building full-stack GPU compute clusters and cloud services across multiple geographies. It mirrors Firebird's vertically integrated model of owning large-scale NVIDIA GPU capacity for both training and inference customers.
- Crusoe Energy: Crusoe builds and operates large-scale data centers purpose-built for AI and HPC workloads, often in non-traditional energy-rich geographies. Its model of co-locating data centers with stranded power parallels Firebird's emerging-market power strategy in Armenia and Kazakhstan.
- Applied Digital: Applied Digital designs, builds, and operates data centers optimized for AI and HPC, leasing capacity to hyperscalers and AI cloud operators. Comparable to Firebird in asset-heavy infrastructure build-out for AI compute, with similar long-term contract structures.
- Together AI: Together AI operates an AI cloud platform for training, fine-tuning, and inference of open-source and custom models on NVIDIA GPUs. Comparable to Firebird's inference-focused product layer (vLLM, TensorRT-LLM, Triton stacks).
Emerging players
- Nscale: Nscale is a UK-based GPU cloud provider building sovereign AI infrastructure with NVIDIA hardware, including data centers in the UK and Norway. It is an emerging peer pursuing a similar sovereign-AI compute thesis but with a Western European geographic focus.
Broad incumbents
- NVIDIA DGX Cloud: NVIDIA DGX Cloud is NVIDIA's own AI cloud platform offering turnkey GPU clusters via partners. It is Firebird's primary supplier-as-competitor: NVIDIA provides the chips but also operates a competing cloud layer, making this a critical incumbent relationship.
- OVHcloud: OVHcloud is a European hyperscaler offering GPU-accelerated cloud servers and bare metal options across multiple geographies. Comparable to Firebird in offering dedicated GPU servers at competitive price points, with a broader portfolio of cloud services.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Firebird AI social profiles
Digital presenceFirebird AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Firebird AI leadership team
Management profileNumber of profiles
Profiles2 records
Firebird AI subsidiaries and ownership
Company hierarchySubsidiaries1 record
Firebird AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors6 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Firebird AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Firebird AI
What does Firebird AI do?
Firebird AI builds and operates hyperscaler-grade GPU cloud infrastructure powered by approximately 50,000 NVIDIA Blackwell GB300 GPUs, anchored by Firebird 1 in Armenia and expanding into Kazakhstan. It sells on-demand, consumption-based GPU compute and dedicated single-tenant bare metal GPU servers for AI training, inference, and high-performance computing workloads to enterprises, research institutions, technology companies, and governments.
Is Firebird AI a public or private company?
Firebird AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Firebird AI founded?
Firebird AI was founded in 2025. It employs 11 to 50 people.
Where is Firebird AI based?
Firebird AI is headquartered in San Francisco, United States, in the North America region.
How does Firebird AI make money?
Two revenue lines are on record. On-Demand GPU Compute is the primary driver. The others are dedicated GPU Servers.
Who are Firebird AI's main competitors?
Vast Data is listed as an others. Direct peers are CoreWeave, Lambda Labs, Nebius, Crusoe Energy, Applied Digital and Together AI. Nscale is listed as an emerging player. Broad incumbents are NVIDIA DGX Cloud and OVHcloud.
Does Firebird AI have an API?
No public API is recorded for Firebird AI.
What industry is Firebird AI in?
Firebird AI's product category is Cloud GPU Infrastructure. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDABADAC, GPU/Accelerator Compute Servers. Its NAICS code is 5182 and its SIC code is 7373.