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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Cerebras
Cerebras

Cerebras

Founded by Andrew Feldman in 2016

Run high-speed artificial intelligence model inference and training on wafer-scale chips

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Cerebras to run large language models and deep learning models at ultra-fast speeds using specialized wafer-scale processors. The service allows you to replace standard GPU clusters for AI inference and training, delivering high throughput and low latency for generative AI applications. You can connect through an OpenAI-compatible API to instantly serve open-source or proprietary models. Developers can also fine-tune or pre-train custom models in the cloud or on-premise, making it easier to build real-time AI agents, voice assistants, and code completion tools.

What Cerebras does

Send inference requests using an OpenAI-compatible API endpointServe open-source foundation models in the cloudDeploy a dedicated on-premise CS-4 hardware rackFine-tune pre-trained models on proprietary datasetsBenchmark token generation speeds across model architecturesIntegrate sub-second AI reasoning into developer copilotsMonitor inference latency and token throughputDelivers ultra-fast token generation speeds up to thousands of tokens per secondProvides drop-in compatibility with the standard OpenAI APIRuns on dedicated wafer-scale engine hardware instead of standard GPUsSupports fine-tuning and pre-training of custom AI modelsAvailable via cloud API or on-premise rack-scale deploymentsHosts popular open models including Llama and QwenProvides dedicated in-region infrastructure for data compliance

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

QwenQwenAWSAWS

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Cerebras, AI inference, wafer-scale engine, CS-4, LLM hosting, fast inference, deep learning, AI training, OpenAI API compatible, low latency AI, generative AI, model serving, AI chip, agentic coding, AI infrastructure