Cerebras vs Crusoe

Models run on the Cerebras Wafer-Scale Engine, which keeps model weights in on-chip SRAM to reach published speeds in the thousands of tokens per second

Chat Completions and Completions endpoints at api.cerebras.ai/v1, usable from the OpenAI SDKs or the Cerebras Python and TypeScript SDKs

Public endpoints serve unmodified open-weight models such as OpenAI GPT OSS and Qwen, with a documented policy of no pruning on hosted models

Configurable reasoning effort, streaming, structured outputs, parallel tool calling, and prompt caching across the catalog

Vision-capable models accept PNG and JPEG images alongside text

Private, provisioned endpoints on reserved capacity with fine-tuning, weight management, and additional model families, arranged through sales

Vertically integrated power sourcing across wind, solar, hydropower, geothermal, natural gas, and carbon capture

Machines are deployed quickly when they are launched

Persistent and shared disks, object storage, and a container registry for AI datasets

Provides instances with NVIDIA SXM GPU interconnects

99.5% uptime commitment backed by 24/7 enterprise-grade support

LLM inference with up to 9.9x faster time-to-first-token and 5x higher throughput versus vLLM