B3IQ makes GPU ownership usable at different scales. Customers own the hardware; B3IQ can host and operate it, and an account's applications use that account's machines through standard HTTP endpoints.

The product contract

  • Buy a dedicated GPU machine and choose hosting or delivery.
  • Manage your machines, runtimes, installed models, keys and SSH access.
  • Discover and run models through owner-scoped OpenAI-compatible endpoints.
  • Use encrypted private jobs where that transport boundary fits the workload.
  • Choose whether idle capacity earns, with estimates and actual records kept distinct.

A missing or unhealthy owned machine does not trigger third-party provider fallback. B3IQ is not a decentralized public inference marketplace. Historical registry, settlement and reputation experiments are not the current product's access or payment contract.

Control you can inspect

Ownership is an access boundary: your gateway key cannot draw from another account's fleet. Readiness is operational: installed models, runtime health, connection, key scope and a successful request each supply different evidence. Planning guidance and benchmark references do not establish current deployment readiness.

Planned capabilities

Serverless-style interfaces, training workflows and verified confidential execution require separate implementation and acceptance evidence. Their presence in a design, guide or roadmap does not make them generally available. The roadmap explains how to evaluate planned work without confusing it with a current purchase option.

Machines
Compare current hardware and purchase options.
Hosted gateway
Call the machines your account owns.
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Current status
Separate source behavior from deployment acceptance.
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