Hosted inference API
Run supported AI models through Cerebras’s hosted inference service rather than managing the underlying inference hardware yourself.
Cerebras Inference is a hosted AI inference cloud and API for running supported language models at low latency. It helps developers build interactive applications, agents, coding tools, research workflows, and other real-time AI experiences with OpenAI API compatibility.
Cerebras Inference is a hosted AI inference cloud and API for running supported language models in interactive software. Its primary purpose is to reduce response latency for applications such as coding tools, research assistants, voice experiences, automation, and agentic workflows.
The service uses Cerebras wafer-scale hardware and claims inference performance of up to 30× faster than GPU systems. Cerebras also presents speed as a way to fit more reasoning within a latency budget, while its pricing page offers self-serve and enterprise access paths for different workload volumes.
Developers can use OpenAI API compatibility to adapt an existing integration with two code changes, according to Cerebras. Access is available through Cerebras directly and through partner platforms including AWS Marketplace, OpenRouter, Hugging Face, and Vercel. The supplied source does not establish the complete model catalog or detailed API and deployment limitations.
Run supported AI models through Cerebras’s hosted inference service rather than managing the underlying inference hardware yourself.
Existing applications using the OpenAI API can be adapted to Cerebras with two code changes, according to the product page.
Cerebras positions the service for fast responses, claiming performance up to 30× faster than GPU systems for supported workloads.
Users can start with free credit, use pay-per-token developer billing, or contact Cerebras for an enterprise production arrangement.
The enterprise tier offers dedicated queue priority, custom model weights, uptime guarantees, and dedicated support for high-volume applications.
The pricing page lists access through AWS Marketplace, OpenRouter, Hugging Face, and Vercel, giving teams additional ways to connect to Cerebras inference.
Build interactive products where users benefit from quick model responses, including conversational, voice, or automation experiences.
Support applications that prompt a model repeatedly, such as research agents and other multi-step systems where cumulative inference latency matters.
Use fast model execution for coding assistants and software workflows that require frequent generation, analysis, or iteration.
Apply inference to research-oriented assistants and document or financial analysis workflows that need timely answers.
Organizations with high-volume applications can evaluate the enterprise path for dedicated queue priority, custom weights, service guarantees, and support.
It is a hosted AI inference cloud and API for running supported language models in applications, with a focus on low-latency responses.
Yes. Cerebras says OpenAI API compatibility allows developers to build on the service with two code changes. The supplied source does not specify every compatible endpoint or parameter.
Create an account to receive $5 in free credit for prototyping prompts, agents, and real-time applications. The developer tier then uses pay-per-token billing, with funds starting at $10 according to the product page.
The pricing page lists AWS Marketplace, OpenRouter, Hugging Face, and Vercel as partner access options. The exact workflow and model availability may differ by partner.
Cerebras describes enterprise access as production-scale inference for high-volume applications, with dedicated queue priority, custom model weights, uptime guarantees, and dedicated support.
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