Endpoints
ServerlessRun frontier open models instantly.
OpenAI-compatible APIs for production AI workloads with pay-per-token pricing.
- Pay per token
- OpenAI compatible
- Frontier open models
- Streaming responses
- Long context
- Tool calling
Production-ready Endpoints for open models and Sovereign Endpoints™ powered by the InferX runtime.
A request enters the OpenAI-compatible API, the scheduler restores initialized model state, GPU capacity attaches while tokens stream, and resources return to the pool when serving completes.
HOW THE STARTUP PATH CHANGES
MONTHLY ACCESS
Beta offer: $10/month, includes $50 in usage credits.
Deployment options
The same runtime. Two deployment models.
OpenAI-compatible APIs for production AI workloads with pay-per-token pricing.
Dedicated inference infrastructure powered by the InferX runtime.
Inside the InferX Runtime
OpenAI compatible
Keep the OpenAI Python SDK and request shape. Point your existing client at InferX to serve open models in production.
Verified SDK compatibilityimport osfrom openai import OpenAIclient = OpenAI( api_key=os.environ["OPENAI_API_KEY"], base_url="https://model.inferx.net/v1",)stream = client.chat.completions.create( model="Qwen/Qwen3.6-35B-A3B", messages=[{"role": "user", "content": "Hello, InferX."}], stream=True,)for chunk in stream: print(chunk.choices[0].delta.content or "", end="")Model platform
Access production-ready endpoints for popular models, or deploy any supported model as a dedicated endpoint with a single click.
View published model catalogPowered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Powered by the InferX Runtime
Two ways to build
Production inference managed by InferX.
Start BuildingDeploy the InferX Platform into Kubernetes, bare metal, private cloud, GPU clouds, or air-gapped environments.
Explore On-Prem Deployment