Cerebras vs DigitalOcean

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

On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.

Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.

GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.

Transparent per-hour pricing with no hidden fees or complex instance families.