Cerebras
A chip and cloud service company using wafer-scale engines for AI inference states on its official website that the CS-4 has a maximum inference speed up to 30 times that of GPU systems, provides an interface compatible with the OpenAI API, and charges by the token.
Updated: 2026-10-30
What is Cerebras?
Cerebras focuses on AI inference infrastructure. Its official website positions its product as "the world's fastest AI inference on the biggest wafer chip", and Meta's description states that the Cerebras CS-4 delivers up to 30x faster inference than GPUs. Its approach is not to compete with GPU clusters, but to use Wafer-Scale Engines (WSE) — the official inference page states that this chip is 58 times larger than a GPU. For developers, it is both a chip company and a cloud service provider: it sells rack-scale solutions like the CS-4, and also directly provides callable inference cloud services and a Playground. The homepage currently promotes the Ultrafast mode of GPT-5.6 Sol, which the company claims can reach 750 tokens per second.
Who is it for?
- Product managers and engineers sensitive to latency, such as those building code completion, real-time conversation, and voice applications that require the first token to be returned as quickly as possible.
- Teams that want to switch the backend of their existing OpenAI API-based applications without making major code changes.
- Application developers who need to lower the cost per token and are willing to use longer contexts to run more inference steps.
- Researchers and procurement professionals who are investigating AI inference hardware routes and want to understand the implementation form of wafer-scale solutions.
Key features
7Cerebras Inference Cloud
The official website states that its inference speed can be up to 30 times faster than GPU systems, and it is used to build real-time applications for agentic scenarios such as coding, research, speech, and automation.
OpenAI API Compatibility
The official website states that you only need to modify two lines of code to build on Cerebras, and low migration costs are its most practical selling point for developers.
Model Catalog & Ultrafast Mode
Choose from a range of cutting-edge models, and the Ultrafast Mode minimizes the latency of a single response to an extremely low level.
Free Trial
The official website states that a free credit of 5 US dollars is provided upon registration, allowing you to run through prompts, Agents and real-time application prototypes before spending any money.
Self-service Developer Pricing
The minimum top-up amount is $10. According to the official website, when the credit balance is higher, the rate limit is 10 times that of the Free tier, and users also enjoy higher-priority processing.
Enterprise
Targeted at high-throughput production-level scenarios, it offers maximum throughput, dedicated queue priority, custom model weights, availability guarantees and dedicated support.
Multi-channel Access
The official website lists deployment paths such as AWS Marketplace, OpenRouter, HuggingFace Hub, and Vercel.
How to use Cerebras
- The official website also notes that the comparison conclusions are based on third-party benchmarks or internal tests, and the actual performance will vary with workloads, configurations and models.
- Do not take the 30x speedup as the measured value for your business.
- First use the free credit and Developer tier to verify whether the latency and quality are truly meaningful for your business, then consider the Enterprise tier.
- When migrating, pay attention to the boundaries of OpenAI compatibility.
- some proprietary features may not be fully corresponding.
- Conduct a full regression test before going live.
- The official website notes that performance data varies by model and capacity, and the quoted prices and SLA are subject to the official pricing page and contract.
- Recheck the official website's instructions before formal procurement, as the official rules and prices may be subject to adjustment.
Traffic & popularity
Data month Sep 2026
Cerebras receives about 342.0K visits per month and ranks #146,961 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct42.3%
- Search33.7%
- Social9.9%
- Referrals8.0%
- AI assistants2.6%
- Other3.6%
Top countries
- United States34.3%
- India8.3%
- Canada5.3%
- Germany4.3%
- South Korea4.1%
Estimated from third-party traffic data.
Similar tools
Luchen TechnologyAn enterprise developing and deploying an AI large model platform, officially stating that its self-developed Colossal-AI covers the entire chain of training, fine-tuning, inference and deployment, and Luchen Cloud provides pay-as-you-go GPU computing power and Token factory-style MaaS services.
GroqGroq's in-house LPU chip-powered inference cloud runs open-source models such as Llama and Mixtral with ultra-low latency. It has a low migration cost for OpenAI-compatible APIs, and the company claims it processes trillions of tokens per week.
AI/ML APIA unified interface service aggregating thousands of AI models. Its official website states that it covers modalities such as dialogue, reasoning, images, videos, audio and search, is compatible with mainstream programming agents, and provides MCP access and an online trial sandbox.
PaiyunDistributed cloud computing service provider, officially stating that it provides APIs for large models and image-video models, Agent sandboxing and hosting, GPU container instances and Spot computing power, and is compatible with the interface standards of OpenAI and Anthropic.
NebiusA dedicated cloud platform for AI teams, which the official website states is fully built from hardware to interfaces, offering non-virtualized GPUs, high-speed interconnection and managed inference, covering scenarios from experiments to large-scale training and inference.
Gitee AIMoli Ark (Gitee AI) is an enterprise-oriented AI model and computing power platform. It provides unified API access to over 200 models, refined Token management, and exclusive model deployment. Its official website states that it supports computing power of domestic chips.