Explore the Documentation
Explore the Documentation¶
This documentation will help you program for the CS system. It covers both basic and advanced topics. Use these docs to accelerate your machine learning training and inference applications on the CS system. Here you will find getting started guides, quickstarts, tutorials, code examples, release notes, and more.
Learn Cerebras basics
Start by learning the basics about how Cerebras systems are deployed and used.Cerebras installations
Cerebras offers two forms of deployment for CS systems, Wafer-Scale clusters and Original Cerebras installations. Which one do you have?Cerebras Software Platform
The Cerebras Graph Compiler (CGC) compiles your ML code into a binary for execution on a CS system.Pipelined and Weight Streaming execution
Cerebras Software Platform supports two execution modes on CS systems.
Learn about Wafer-Scale cluster and Original Cerebras installation and what execution modes are supported by them.
How Pipelined and Weight Streaming work.
Whether your framework is TensorFlow or PyTorch, get to know the general ML workflow on Cerebras first.
TensorFlow: Getting StartedQuick-Start Guide with a Simple TensorFlow Model on a Cerebras Wafer-Scale Cluster
PyTorch: Getting StartedQuick-Start Guide with a Simple PyTorch Model on a Cerebras Wafer-Scale Cluster
TensorFlow: Getting StartedQuick-Start Guide with a Simple TensorFlow Model in an Original Cerebras Installation
PyTorch: Getting StartedQuick-Start Guide with a Simple PyTorch Model in an Original Cerebras Installation
Check out the reference models
GitHub repo with a partial list of various neural network models currently supported.
PyTorch or TensorFlow, we got you covered. Start your framework-to-CS journey here.
Determine optimal Slurm resources, use the compiler report to enhance input function.
For questions and feedback on documentation Contact
For support Contact
- Cerebras company website