What DeepInfra sells — and what it buys
Tokens. OpenAI-compatible APIs over 150–190+ open-source models, pay-as-you-go, zero data retention, SOC 2 / ISO 27001. GPUs fully abstracted away — plus DeepCluster: dedicated B300 clusters of 256–5,000 GPUs on 3–5 year terms, operated by DeepInfra but owned by the customer.
Data centers and hardware outright — DeepInfra owns and operates GPU clusters across eight US data centers, with early Blackwell and Vera Rubin + NVIDIA Dynamo deployment. Vertical integration is the moat.
Scale proof
The bet
That inference — specifically always-on agentic inference at 50–100+ model calls per task — becomes the dominant compute workload, and that owning the full stack from data center to API beats renting spot capacity on cost-per-token.
Natural counterparty
Application builders who never want to see a GPU; and on the buy side, data-center and power providers as it expands beyond eight US sites — EU expansion is the obvious next move given AI-Act data-residency demand.
Buyer fit
You want open-source model inference at the lowest cost-per-token with zero infrastructure ownership.
You need proprietary frontier models or custom training infrastructure.
Five fields we track but don’t publish
Everything above is public and verifiable. The fields below change weekly and are verified directly with each provider — they live in a private supply-demand ledger, not on this page.