Cerebras
Free tierFast AI inference on wafer-scale chips
Key strengths
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Cerebras — Technical Overview
Cerebras delivers ultra-fast AI inference powered by its proprietary Wafer-Scale Engine (WSE) hardware, achieving speeds up to 30x faster than GPU-based alternatives. The platform exposes an OpenAI-compatible REST API, enabling drop-in integration for teams already building on standard LLM tooling — no SDK migration required.
Cerebras hosts and serves a range of models including Qwen, GPT-5.6 Sol, Kimi K2.6, Codex-Spark, Meta Scout, and others, all running on Cerebras's own inference infrastructure. For teams requiring data sovereignty or custom deployment, on-premise (self-hosted) deployment is supported alongside cloud access.
Key technical characteristics:
- OpenAI API-compatible endpoints for seamless developer adoption
- Ultra-low latency inference suited for real-time and streaming applications
- Wafer-Scale Engine hardware purpose-built for AI workloads
- On-premise and cloud deployment options
- Integrations with AWS Marketplace, OpenRouter, HuggingFace, Vercel, and AMD
- Open-source components available (1,203 GitHub stars)
- Enterprise plans available by agreement for high-throughput, SLA-backed workloads
- Usage-based pricing with a free trial and a one-time $5 promotional credit (expires 30 days after activation) for new users; PayGo credits also available