What it sells
Serverless Infrastructure Platform for AI
Business model breakdown
Buyer: who owns the budget?
UnverifiedML / AI infrastructure and engineering leads at AI startups.
Trigger: what makes them buy now?
Slow cold starts and GPU capacity or autoscaling pain on Kubernetes or other providers when serving latency-sensitive AI.
Workflow: what inputs become what output?
Point Cerebrium at code or a Dockerfile, deploy as a serverless endpoint with GPU snapshotting, autoscale per request across regions, monitor with observability; also run training scripts on GPUs.
Economics: what it saves and how it charges
Usage-based per-second compute billing plus a platform fee ($100/mo Standard); claims 2-4s cold starts vs 42-156s for alternatives.
Distribution: how it reaches customers
Self-serve signup with free Hobby tier and docs; demo/contact for enterprise.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2022 | — | Y Combinator | ycombinator.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.