Cerebras Systems
Enterprises, AI developers, and research institutions needing high-speed AI inference or training for applications like coding assistants, agentic AI, and real-time analytics.
Overview
Cerebras Systems is an AI compute company that designs and builds wafer-scale AI chips and systems. Founded in 2015 and headquartered in Sunnyvale, California, the company develops the Wafer-Scale Engine (WSE), a chip it claims is 58x larger and 15x faster than GPUs. Cerebras offers both on-premise supercomputers (CS-2, CS-3) and a cloud-based inference API, positioning itself as the world's fastest AI inference and training platform. The company has raised significant funding, including a $250M round at a $4B+ valuation, and counts investors such as Sam Altman, Andy Bechtolsheim, and Ilya Sutskever among its backers.
Funding: Cerebras has raised significant funding, including a $250M round at a $4B+ valuation (Series F led by Alpha Wave Ventures). Total funding to date is $720M as of that round, with later reports indicating $2.6B across 10 rounds.
What it does
Cerebras provides AI compute infrastructure for training, fine-tuning, and inference. Its cloud offering delivers high-speed inference for open-source models (e.g., Llama, Mistral, GLM) via an API with OpenAI-compatible endpoints. The company also sells dedicated on-premise systems (CS-2, CS-3) for organizations building private supercomputers. Cerebras emphasizes ultra-low latency and high token generation speeds, claiming up to 15x faster inference than GPU-based systems.
Key features
- Wafer-Scale Engine (WSE-3) chip, 58x larger and 15x faster than GPUs
- Cloud inference API with OpenAI-compatible endpoints
- On-premise CS-2 and CS-3 supercomputer systems
- Support for fine-tuning and pre-training models
- Pay-as-you-go cloud pricing with free tier
- Partnerships with major AI platforms (OpenRouter, Hugging Face, AWS Marketplace)
- Deployment across cloud, on-premise, and on-device
Use cases
- Real-time coding assistants and agentic workflows
- Instant question-answering and deep search
- Voice AI and conversational agents with low latency
- Enterprise search and knowledge retrieval
- Scientific research and drug discovery (e.g., genomics, fluid dynamics)
- Cybersecurity threat detection and response
Pricing
Free tier includes $5 in credits. Developer tier starts at $10. Cerebras Code plans are subscription-based. Enterprise pricing is not public.
View current pricingPricing is gathered from the company's public pages and may change. Check the vendor's site before buying.
Pros and cons
Strengths
- World-record inference speeds (up to 15x faster than GPUs)
- Drop-in OpenAI API compatibility for easy integration
- Flexible pricing: free tier, pay-as-you-go, and subscription plans
- Strong partnerships with major AI platforms and enterprises
- On-premise and cloud deployment options
Limitations
- Pricing for enterprise tier requires contacting sales; no public list prices
- Some subscription plans (Cerebras Code Pro/Max) are sold out
- Performance claims may vary by workload and configuration
- Limited to models available on the platform; not all open-source models supported
What sets it apart
- Wafer-scale chip architecture (WSE) that is significantly larger than traditional GPUs
- Focus on ultra-low latency inference, enabling real-time AI applications
- Dedicated low-latency inference solution for OpenAI's compute portfolio
- On-premise supercomputers for sovereign AI and data residency
Ecosystem
Integrations
Notable customers
Frequently asked questions
How fast is Cerebras inference compared to GPUs?
Cerebras claims up to 15x faster inference than GPU-based systems, with observed speeds varying by workload and model.
Does Cerebras offer a free tier?
Yes, Cerebras offers a free tier with $5 in free credits after creating an account, providing access to all Cerebras-powered models.
Can I use Cerebras with OpenAI-compatible APIs?
Yes, Cerebras offers drop-in OpenAI API compatibility, allowing developers to switch with minimal changes.
What models are available on Cerebras?
Cerebras supports open-source models including GLM, OpenAI, Qwen, Llama, and more, with a full list available on their site.
Does Cerebras offer on-premise deployment?
Yes, Cerebras sells dedicated on-premise systems (CS-2, CS-3) for organizations building private supercomputers.
Sources
This profile was compiled from the company's own pages and public web research.
- https://www.cerebras.ai/
- https://www.cerebras.ai/customer-spotlights
- https://www.cerebras.ai/pricing
- https://www.cerebras.ai/company
Last researched August 11, 2026.
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