Cerebras Inference
New
Run Llama 70B at 1,800 tokens per second — 20x faster than GPU alternatives. The only inference provider where speed itself is the competitive moat.
Models
★ 4.7(1,600 reviews)freemiumOverview
Cerebras runs LLMs on purpose-built wafer-scale chips that achieve 1,800+ tokens per second — roughly 20x faster than GPU-based inference providers for the same model. The speed difference makes real-time voice agents, interactive code generation, and sub-second RAG pipelines practical for the first time. Supports Llama 3.1 70B and 405B, Llama 3.3 70B, and DeepSeek R1 via a free-tier API.
Key Features
- 1,800+ tokens/second on Llama 3.1 70B — fastest available
- Wafer-scale chip architecture eliminates inter-chip communication overhead
- Supports Llama 3.1, 3.3, DeepSeek R1, and Qwen models
- OpenAI-compatible API with streaming support
- Free tier for prototyping with no credit card required
- Real-time performance suitable for voice and interactive applications
Pros
- • Fastest inference in the industry by a wide margin
- • Free tier is genuinely useful, not just a trial
- • OpenAI-compatible — drops into existing code immediately
Cons
- • Model selection is limited to a curated set, not the full open-source catalog
- • Purpose-built hardware means no custom model fine-tuning support
- • Very high throughput can mask context window limitations
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