What is Appliance Mode? - Cerebras

Introduces 'Appliance Mode' for the Cerebras cluster, simplifying the process of training large language models. This mode abstracts away the complexities of distributed job launching, resource management, and parameter tuning. Users can now specify their model and desired CS-2 nodes, and the system handles the orchestration. It supports both pipelined and weight streaming execution modes, allowing for training models larger than the memory capacity of a single wafer. The mode is more "pythonic," uses standard TensorFlow/PyTorch wheels, and integrates with common datacenter orchestration tools like Kubernetes. It contrasts with the previous, more complex, single-CS-2, script-based deployment that relied on Slurm and custom containers.