Virtual model endpoints: fast mode, long context, & unlimited context

Learn how to solve common context and memory issues for agentic and development workflows with fast, long, and unlimited context virtual model endpoints.

Overview

We optimize GPU compute for inference. We’ve stood up several clusters of capacity serving common/popular models. This has pushed us to providing unique variants that solve common context/memory issues and we’ve provided these in a way that’s a simple as changing to another OpenAI compliant model. For development or agentic scenarios, these can enable multi-million context as well as unlimited model context all behind a simple model endpoint.

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