What it sells
AI infrastructure.
Business model breakdown
Buyer: who owns the budget?
UnverifiedAI/ML infrastructure leads and platform teams at AI labs and enterprises, plus procurement for reserved GPU contracts.
Trigger: what makes them buy now?
UnverifiedNeed for scarce, high-end GPU capacity for training and inference without long lock-in.
Workflow: what inputs become what output?
Rents GPU/CPU instances, storage and managed Kubernetes, or uses Managed Inference and Serverless Fine-Tuning, for data prep, model training and inference.
Economics: what it saves and how it charges
Usage-based cloud: pay-by-the-hour on-demand and spot, reserved/committed agreements for lowest rates, pay-as-you-go managed inference.
Distribution: how it reaches customers
Self-serve 'Get started' cloud signup plus 'Contact sales' for reserved capacity (GB200, B200, MI355X); cloud partner ecosystem.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-09-11 | — | over $3 Billion | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.