Cerebras

What is Cerebras?

Cerebras is a cutting-edge platform designed for fast and effortless AI training and inference, offering a unique approach to scaling American manufacturing of AI supercomputers in Silicon Valley. The platform provides a unified solution for running the same models and agents across cloud, on-premise, and on-device environments, ensuring inference runs in-region to meet latency, data residency, and compliance requirements. With support for a wide range of models including GLM, OpenAI, Qwen, Llama, and more via an API key, Cerebras enables developers to code, debug, and refactor instantly, maintaining flow without interruptions.

Key features include lightning-fast inference speeds that deliver complex reasoning in under a second, making it ideal for deep search, copilots, and analysis. The platform also supports multi-step workflows without delays or timeouts, and provides instant, accurate voice responses for higher quality interactions. By deploying frontier models at production scale with world-record speeds, Cerebras allows users to achieve better output quality within the same latency budget. Additionally, it offers up to 15x faster inference compared to GPU-based systems, significantly slashing AI infrastructure costs.

Cerebras is battle-tested at scale by leading cloud service providers and enterprises, and offers drop-in OpenAI API compatibility for easy integration in under 30 seconds. Beyond inference, users can fine-tune or pre-train models with their own data to optimize for specific use cases. The platform is particularly beneficial for applications requiring low-latency inference, such as real-time analytics, conversational AI, and autonomous systems. Technical details include a focus on in-region processing to ensure compliance and performance, and a commitment to scaling American manufacturing of AI hardware. Cerebras is positioned as a strategic partner for organizations seeking to build resilient AI compute portfolios, matching the right systems to the right workloads.

Use Cases

Key Features

fast AI training lightning fast inference multi step workflows instant voice responses frontier model deployment 15x faster inference unified cloud/on premise/on device in region inference support for multiple models instant code debugging

Who is it for?

AI developers, machine learning engineers, data scientists, enterprise IT teams, compliance officers, cloud architects

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