Cerebras

Cerebras is a platform providing hardware and cloud infrastructure designed for fast AI training, fine-tuning, and inference. It utilizes a custom Wafer-Scale Engine, described as a large and fast chip built to handle heavy computational workloads. The service delivers high-speed token generation and low latency for open models with drop-in OpenAI API compatibility.

• Hardware and cloud infrastructure for AI training, fine-tuning, and inference utilizing a custom Wafer-Scale Engine
• Drop-in OpenAI API compatibility for rapid integration
• Support for serving open models including GLM, Qwen, Llama, Gemma-4-31B, Kimi K2.6, GLM-4.7, and Codex-Spark
• Options for cloud, on-premise, and on-device deployment
• Model fine-tuning and training services for customizing models with proprietary data
• Partner access options through AWS Marketplace, OpenRouter, Hugging Face, and Vercel

Pros

• Delivers ultra-fast token generation speeds and low latency suitable for real-time applications, voice interactions, and multi-step agentic workflows
• Offers flexible deployment paths spanning cloud, dedicated on-premise hardware, and partner integrations
• Provides drop-in OpenAI API compatibility to ease the migration of existing applications

Cons

• Specific subscription tiers such as Cerebras CodePro and Max are noted as sold out on the pricing page
• Preview models are restricted to evaluation purposes and are not intended for production environments
• Observed inference speed improvements can vary depending on the specific workload, configuration, date, and models being tested

The platform fits developers, enterprises, and AI builders seeking low-latency inference, real-time code generation, and multi-step agentic workflows using open-source models. It is a poor fit for teams requiring closed models that lack API endpoints on the service or buyers looking for widely available, fully open-source hardware designs.

The platform offers a Free Trial tier providing $5 in free credits after creating an account with community support via Discord. The Developer tier offers self-serve payment starting at $10 with 10x higher rate limits and higher priority processing. The Enterprise tier provides custom weights, dedicated queue priority, and custom model training services with pricing available via contact sales. Specific fixed tiers include Cerebras CodePro at $50 per month supporting up to 24 million tokens per day, and Max at $200 per month supporting up to 120 million tokens per day, though both are listed as sold out.

Unlike standard GPU-based cloud infrastructure, Cerebras builds its platform around a proprietary Wafer-Scale Engine that is purpose-built for ultra-fast AI workloads. Rather than standard architectures, this wafer-scale chip approach enables high-throughput prefill and token generation designed to keep applications within tight latency envelopes.

GLM, OpenAI, Qwen, Llama, Gemma-4-31B, Kimi K2.6, GLM-4.7, Codex-Spark, AWS Marketplace, OpenRouter, Hugging Face, and Vercel