What it sells
AI inference cloud.
Business model breakdown
Buyer: who owns the budget?
UnverifiedEngineering/infrastructure leaders at organizations deploying AI inference at scale (hypothesis from platform positioning).
Trigger: what makes them buy now?
Inference is becoming the bottleneck as AI agent and product usage grows; need fast, affordable, reliable token throughput.
Workflow: what inputs become what output?
Customers run model inference on Groq capacity through layered offerings: GroqMetal dedicated bare-metal infrastructure, GroqCore production inference stack, and GroqAssured enterprise governance; LPU racks deliver about 1,000 tokens/sec/user.
Economics: what it saves and how it charges
Sells inference capacity (cloud and dedicated infrastructure) built on its own LPU chips; building hundreds of megawatts across 13 data centers on four continents; unit pricing not on groq.com.
Distribution: how it reaches customers
Developer self-serve "Start building" plus enterprise/dedicated capacity via contact.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-08-17 | — | US$ 350 mi | — | 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.