General
Concise overview of 1for.ai: ~92% gross margin (EBITDA ~85%), $45M CAPEX, $13M Year 1 revenue, 28-32% IRR, modular BTM hydro GPU infrastructure
On-demand inference access. 20% cluster allocation. Flexible entry point via API Layer.
1–3yr contracts for predictable workloads. 30% cluster. SLA-backed stability.
Dedicated cluster for 1–2 global enterprise clients. 50% allocation. Full isolation.
Standardised programmatic access to inference compute across all three tiers. NVIDIA Rubin Ultra architecture (GR200 NVL72) · InfiniBand NDR800 · ~10.4 ExaFLOPS (FP8)
Competitors compete on scale and capital.
1for.ai competes on energy architecture.
A 10 MW hydro contract at $0/kWh is worth more than the GPUs it runs — because GPUs can be upgraded, but power contracts cannot be replicated.
Large enterprises & AI-native companies requiring dedicated high-throughput inference at scale.
Primary geographies: Georgia (Caucasus) · Gulf region (UAE / KSA)
Vertical-agnostic · stable continuous inference workloads · cost-sensitive procurement.
Direct: High-touch enterprise outreach, consultative deal structuring
Partners: NVIDIA ecosystem, technology integrators
Inbound: Public website · API documentation · developer community