Cerebras AI
AI inference platform built on custom silicon delivering 900+ tokens per second - 20x faster than GPU-based competitors for open-source LLM access.
Cerebras is an AI hardware and inference company that built the Wafer Scale Engine - the largest chip in the world - specifically to accelerate LLM inference. The Cerebras Cloud platform offers API access to Llama 3, Mistral, and other open-source models at speeds exceeding 900 tokens per second, compared to 50-100 tokens per second on standard GPU clouds. Founded in 2016 by Andrew Feldman and a team of ex-AMD engineers, Cerebras has raised $725M and reached a $7.2B valuation. The inference API is priced at approximately $0.10 per million input tokens for smaller models - competitive with GPU providers - while delivering response times that unlock real-time conversational and agentic applications previously impractical at GPU speed.
Key Features
- 900+ tokens/second for Llama 3.1-70B - approximately 20x faster than standard GPU inference providers
- Access to Llama 3.3-70B, Llama 3.1-8B, Llama 3.1-405B, and Mistral models via unified API
- OpenAI-compatible API format for zero-friction migration from existing GPT-4 integrations
- Sub-0.5-second time-to-first-token for streaming responses in real-time applications
- Developer playground for testing prompts and benchmarking response speed interactively
- Free tier with $30 in starting credits for new accounts
- 99.9% uptime SLA for production workloads
Use Cases
- Real-time voice AI applications where response latency under one second is a hard requirement
- Interactive coding assistants and agentic systems that require fast multi-turn reasoning loops
- Researchers running large-scale evaluation benchmarks that would take hours on standard GPU clouds
- Startups needing fast Llama inference at prices competitive with AWS and Azure
Pros
- Fastest publicly available LLM inference by a wide margin - enables use cases that GPU latency makes impractical
- OpenAI-compatible API means existing code using GPT-4 can switch providers with a one-line URL change
- Pricing at $0.10/1M tokens makes it one of the most cost-effective options for Llama 3 access
Cons
- Model selection is limited to open-source models - Claude, GPT-4o, and Gemini are not available
- No fine-tuning or custom model deployment - inference-only platform with no customization options
- Enterprise features like dedicated capacity and data residency are newer and less mature than established providers
Cerebras AI Alternatives
Explore similar tools and alternatives
Looking for alternatives to Cerebras AI? Here are some similar tools you might like:
Groq
Ultra-fast LLM inference API using custom LPU hardware - 400–800 tokens/second on Llama 3.3, Gemma, and Mixtral models.
Fireworks AI
High-speed LLM inference API by ex-Meta AI researchers, serving Llama 3, Mixtral, and 50+ open-source models at 4x standard throughput with fine-tuning support.
OpenRouter
Unified API that routes requests to 300+ AI models from OpenAI, Anthropic, Google, and Meta - with automatic fallback, cost controls, and model comparison.
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