Learn how to start training models on the Cerebras Wafer-Scale Cluster.
DINOv2 Now Available: Train and fine-tune DINOv2, a powerful self-supervised vision model for high-quality image representations without labeled data.
Major Performance Improvements: Experience up to 77x speedup in checkpointing and weight initialization.
S3 Checkpointing: Save and manage model checkpoints using any S3-compatible storage for seamless remote training and distributed workflows.
Automatic Job Restart: Recover from intermittent failures automatically with checkpoint-based job restarts, ensuring uninterrupted training.
And many more updates! Read more in our release notes.
Setup and install your training environment.
Learn more about our Wafer-Scale Cluster.
Explore our comprehensive repo of deep learning models optimized for the Cerebras hardware.
Functions and data structures you can use to configure and execute PyTorch models on a Cerebras cluster.
Learn how to start training models on the Cerebras Wafer-Scale Cluster.
DINOv2 Now Available: Train and fine-tune DINOv2, a powerful self-supervised vision model for high-quality image representations without labeled data.
Major Performance Improvements: Experience up to 77x speedup in checkpointing and weight initialization.
S3 Checkpointing: Save and manage model checkpoints using any S3-compatible storage for seamless remote training and distributed workflows.
Automatic Job Restart: Recover from intermittent failures automatically with checkpoint-based job restarts, ensuring uninterrupted training.
And many more updates! Read more in our release notes.
Setup and install your training environment.
Learn more about our Wafer-Scale Cluster.
Explore our comprehensive repo of deep learning models optimized for the Cerebras hardware.
Functions and data structures you can use to configure and execute PyTorch models on a Cerebras cluster.