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- Cerebras
Documentation for Developing with CSL This is the documentation for developing kernels for Cerebras system Here you will find getting started guides, quickstarts, tutorials, code samples, release notes, and more
- A Conceptual View — SDK Documentation (1. 4. 0) - Cerebras
A Conceptual View This section presents a conceptual view of computing with the Cerebras architecture Read this before you get into the details of how to write programs with the Cerebras SDK The Cerebras Wafer-Scale Engine (WSE) is a wafer-parallel compute accelerator, containing hundreds of thousands of independent processing elements (PEs)
- Which models are offered by Cerebras inference?
- Llama3 3-70b - Llama4-Scout - Deepseek R1 Distilled Llama 70b - Llama 3 1-8b - Qwen3 32b - Qwen3 235b Instruct - Qwen3 235b Thinking -
- Cerebras Code FAQ
Cerebras Code is a set of subscriptions for developers to access high-speed code generation LLMs via API powered by ZAI-GLM 4 7 It runs on Cerebras hardware at up to 1,000 tokens sec
- How to Get Started on PayGo - support. cerebras. net
1 Log in at cloud cerebras ai 1 Head to your Billing Tab 1 Click “Try on Cerebras” for our pay per token option 1 Create a Billing
- Tutorials — SDK Documentation (1. 4. 0) - Cerebras
Tutorials This series of tutorials serves as an introduction to bulding programs written in CSL using the Cerebras SDK In each successive tutorial, we introduce additional language features, using a general matrix-vector product (GEMV) as our core computation
- What are the speeds (tokens per second) of Cerebras Models?
- llama3 1-8b: ~2200 tok sec - llama-3 3-70b: ~2100 tok sec - llama-4-scout-17b-16e-instruct: ~2600 tok sec - qwen-3-32b: ~2100 tok sec -
- How fast are Cerebras models?
Here are the output speeds (tokens per second) of each of our available models: - llama3 1-8b: ~2200 tok sec - llama-3 3-70b: ~2100 tok sec -
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