Cerebras

Cerebras provides a specialized AI infrastructure platform built around its custom Wafer-Scale Engine processor, designed to run large language models and AI workloads with exceptional speed. It's not a consumer-facing chatbot but the underlying engine that powers them. The core offering is high-speed inference, allowing companies to serve models like GLM, Llama, and others with drastically lower latency than traditional GPU clusters. You can access this via a cloud API, dedicated private endpoints, or deploy the hardware on-premises for full control.

What sets Cerebras apart is its raw performance. The platform emphasizes 'instant answers' for complex reasoning, enabling AI agents that don't stall during multi-step workflows and code generation that happens at the 'speed of thought.' It boasts drop-in compatibility with the OpenAI API, making it easier for developers to switch or augment their existing setups. Beyond just running models, the platform is a full stack, supporting fine-tuning and pre-training so teams can optimize models for their specific data and use cases on the same system.

This tool is built for technical teams and enterprises where AI performance is a bottleneck. It benefits companies building deep search engines, real-time AI copilots, interactive coding assistants, or any application where user experience depends on near-instantaneous AI responses. The customer stories highlight use cases from drug discovery at GSK to powering AI features at Notion, showing its value for organizations that need to deploy frontier models at production scale without compromise.