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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.
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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.
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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
Cerebras Breaks Exascale Record for Molecular Dynamics Simulations
Cerebras has set a new record for molecular dynamics simulation speed that goes far beyond the exascale level. While this breakthrough has wide-ranging impacts…
Supercharge your HPC Research with the Cerebras SDK
Cerebras SDK 1.1.0, our second publicly available release, includes initial support for the WSE-3. Check out what researchers have been doing with the SDK, and…
Accelerating Large Language Model Training with Variable Sparse Pre-training and Dense Fine-tuning
We reduced pre-training FLOPs by 64% using sparsity. To the best of our knowledge, this is the largest GPT model trained with unstructured weight sparsity…
Variable Sequence Length Training for Long-Context Large Language Models
We show it is possible to accelerate the training for large language models with long context capabilities using a simple staged training method. Faster to…
Machine Learning,Blog,Developer Blog,Large Language Model,NLP,Deep Learning
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#
- Please use this documentation to get started.
- 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
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