Cerebras
Run open AI models through an OpenAI-compatible API optimized for very fast inference.
ABOUT
What is Cerebras?
Cerebras built purpose-built wafer-scale chips for AI inference, resulting in token generation speeds that are 10–20x faster than GPU-based alternatives at equivalent model size. The hosted API is OpenAI-compatible, so dropping it into an existing codebase usually requires changing only the base URL and API key.
BEFORE YOU SIGN UP
What you should know
COMMUNITY
From the forums
Developers on r/LocalLLaMA and X consistently highlight the raw speed as the standout feature. Llama 3 completions finishing in under a second generates frequent excitement. The main concern is the limited model catalog compared to OpenRouter or Together AI and the lack of fine-tuning or embeddings on the free tier.
— Community sentiment
SEE ALSO · AI & machine learning
Alternatives to Cerebras
ABOUT US
Honest, independent, no fluff.
No paid placements. Just a clear look at what this does, what it costs, and what to know before you commit.
FAQ
Questions, answered.
How does Cerebras compare to Groq in speed?+
Both are significantly faster than GPU cloud providers. Cerebras uses wafer-scale chips; Groq uses LPUs. Real-world speed depends on the specific model and workload, but both routinely exceed 1,000 tokens/second.
Can I use Cerebras in production for free?+
The free tier is intended for development and prototyping. Rate limits and the absence of SLAs make it unsuitable for production traffic without a paid plan.