Cerebras vs Google Cloud

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

Scalable virtual machines with a wide range of machine types, including GPUs.

Managed Kubernetes service for deploying and managing containerized applications.

Event-driven serverless compute platform.

Fully managed serverless platform for containerized applications.

Unified ML platform for building, deploying, and managing ML models.

Spare compute capacity at discounted Spot prices, suitable for fault-tolerant workloads that can be interrupted.