Any model. Any SDK.
Distributed inference.
Access every open-weight LLM through the SDK you already use — OpenAI, Anthropic, or Gemini. Capacity sourced from verified data center fleets with cryptographic attestation.
Use the SDK you already know
Inferegator translates protocols transparently. Point your existing OpenAI, Anthropic, or Gemini client at our endpoint — streaming, function calling, and vision work without code changes.
From request to response in milliseconds
Your API call is routed to the best-performing GPU on the network. Every response is cryptographically signed. Every provider is continuously verified.
Run what you want
Open-weight models from Meta, Mistral, Qwen, DeepSeek, and more — running on verified GPU hardware. Transparent per-token pricing.
Cryptographic verification at every layer
Inferegator verifies every node in the network through adaptive cryptographic probes, hardware fingerprinting, and signed responses — no TEE dependency, no trust assumptions.
Monetize idle GPU capacity
Deploy a single lightweight binary across your fleet. Inferegator handles demand routing, billing, and settlement — you control model assignment, rollout cadence, and node operations through the fleet dashboard or API.
Why Inferegator
Transparent pricing
Per-token pricing on every model. No seat fees, no compute minimums, no hidden charges. Prepaid or postpaid billing.
Universal SDK
OpenAI, Anthropic, Gemini — use whichever client you prefer. Protocol translation is transparent and lossless.
Multi-provider resilience
Requests routed across verified data center fleets. No single point of failure. Capacity backed by enterprise-grade hardware.
Zero lock-in
Standard APIs, standard models. Move workloads on or off with zero code changes. Inference runs on provider hardware, not ours.
Ready to get started?
API consumers — create a free account and get your key in minutes. Data center operators — contact us to onboard your fleet.