Concepts and Guides#
Here we provide you with a comprehensive guide for all things Cerebras. You’ll find detailed information on our core concepts, workflows, features, and the Cerebras PyTorch API. Explore the Cerebras Model Zoo with its pre-configured Large Language Models (LLM), Computer Vision (CV) models, and multimodal support for models like LLaVA, or bring your own PyTorch ML model and dataset.
The Cerebras Wafer-Scale Cluster is meticulously engineered to enable the training of neural networks with remarkably efficient linear scaling across millions of cores, all without the complexities of traditional distributed computing. This portal includes set-up guides for establishing a Cerebras virtual environment and using the Cerebras Model Zoo. You’ll also find step-by-step tutorials and how-to guides covering every aspect in detail.
Resources#
Explore the Cerebras Model Zoo for a collection of pre-built models.
Dive into Pre-train your first model and Fine-tune your first model a model using our QuickStart guides.
Use the Cerebras PyTorch API to integrate Cerebras technology with PyTorch for optimized performance and seamless model training.
Read through our Core workflows to learn about data preprocessing, evaluations, and training on Cerebras systems.
View our release version 1.6.1 documentation here.