Microsoft Azure vs Cerebras

Unified AI platform with a catalog of models, agents, and tools for building and governing AI applications

Seamless integration with Microsoft ecosystem and enterprise tools

Strong hybrid and multi-cloud support with Azure Arc

Industry-leading security features and compliance certifications

Extensive worldwide network of data centers and edge locations

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