Cerebras vs Massed Compute

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

Assurance of fully-supported, high-performance NVIDIA GPU solutions

Independent attestation of security, availability, and confidentiality controls

Hourly VMs or single-tenant servers—no long-term contracts

REST API to list, provision, manage, and retire GPU instances programmatically

Redundant power, cooling, and network for >99.98 % uptime

Launch pre-configured AI/ML or VFX desktops in a browser—no CLI needed