
PyTorch
Our PyTorch interface library is a simple wrapper for PyTorch program exposed through API calls that is easy to add as few extra lines of code for an existing Pytorch implementation.

TensorFlow
Integration of TensorFlow is via Cerebras Estimator, which is a wrapper class we developed based on standard TensorFlow Estimator and standard TensorFlow semantics.

SDK
The Cerebras SDK allows researchers to extend the platform and develop custom kernels – empowering them to push the limits of AI and HPC innovation.

Cerebras Model Zoo
This repository contains examples of common deep learning models demonstrating best practices for coding for the Cerebras hardware.
Developer Resources
Developer blogs
Efficient Large-Scale GPT Training Using a Cerebras Wafer-Scale Cluster
Cerebras has built a platform for push-button training of large language models that can accelerate time to insights without having to orchestrate across a…
Machine Learning,Software,Cloud,Blog,Developer Blog,Large Language Model,NLP,Deep Learning
Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning [Updated]
Our ML-optimized architecture enables the largest models to run on a single device. With data parallel-only scale out and native unstructured sparsity…
Fine-Tuning with Cerebras AI Model Studio Launchpad
Cerebras shares research showing smaller foundation models that are fine-tuned on domain-specific tasks outperform larger foundation models.
Machine Learning,Software,Cloud,Blog,Developer Blog,Foundation Model,Large Language Model,NLP
Cerebras-GPT: A Family of Open, Compute-efficient, Large Language Models
Cerebras open sources seven GPT-3 models from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models set new benchmarks for…
FAQ
Don’t see your question?Send us an email at developer@cerebras.net
To learn more about our programming model, please see our documentation – https://docs.cerebras.net/en/latest/wsc/cerebras-basics/how-cerebras-works.html#
- To get started with PyTorch please use this documentation
- To get started with TensorFlow please use this documentation
- Read the SDK technical overview white paper
- Please request access to our SDK here
Please find our example reference model implementation here: https://github.com/Cerebras/cerebras_reference_implementations. To get access to our full list, please contact us at developer@cerebras.net
Please sign up for our newsletter!