Cerebras
Wafer-scale inference for open models.
Key features
- Runs inference up to 30 times faster than GPUs
- Serves models in the cloud and on-premise
- Trains, fine-tunes, and serves models on one platform
- Offers a drop-in OpenAI-compatible API
- Keeps inference in-region for data residency rules
- Category
- LLM APIs
- Who it's for
- Developers and enterprises that need fast AI inference at scale.
- Tags
- inferencellm-apiopen-modelsgpufine-tuningself-hosted
- Website
- cerebras.ai
- Listed
- 2026-09-15
Sourced notes
Frequently asked questions
Is Cerebras free?
Cerebras has a free plan, with paid tiers for more usage or features.
What is Cerebras used for?
Wafer-scale inference for open models. Typical uses: runs inference up to 30 times faster than GPUs; serves models in the cloud and on-premise; trains, fine-tunes, and serves models on one platform.
What are the best Cerebras alternatives?
Alternatives in the same category include Together AI, Workers AI, DeepInfra, Fireworks AI, Hugging Face.
Related in LLM APIs
See all →- DeepInfra Hosted inference API for open models.
- Fireworks AI Inference platform for open models.
- Groq Inference API known for low-latency open models.
- Hugging Face Model hub, datasets, and hosted inference.
- NVIDIA NIM NVIDIA's catalog of inference microservices and trial APIs.
- SambaNova Inference platform for open language models.
