Cerebras Inference

Cerebras Inference is the public cloud API on top of Cerebras' Wafer-Scale Engine, the largest single chip ever built. Where GPU clouds shuffle weights between many small chips and over interconnects, Cerebras keeps the entire model on one wafer with on-chip memory bandwidth measured in tens of petabytes per second. The practical result is a step-change in throughput: Llama 3.1 8B serves over 1,800 tokens/second, Llama 3.1 70B at hundreds of tokens/second, and Qwen and other open models stream so fast that long agent traces feel instantaneous. This unlocks use cases that GPU-class latency makes painful: real-time voice agents, reasoning models that must emit thousands of internal tokens before answering, code agents that complete entire files in a flash, and large-batch evaluation pipelines. The API is OpenAI-compatible so most SDKs and frameworks (OpenAI Python/TypeScript, LangChain, LlamaIndex, Vercel AI SDK) work with just a base URL change. Cerebras offers a generous free tier for development plus token-based paid tiers — starting around $10 in pay-as-you-go credit — with enterprise contracts for guaranteed capacity. It supports streaming, tool calling, and structured outputs. Teams building latency-sensitive copilots, voice assistants, or agentic systems on open-source models pick Cerebras when GPU inference cannot keep up with token-hungry workloads.