Grok Bot template · Generative AI and LLMs
Distributed Training Ray Train
Scales PyTorch, TensorFlow, and HuggingFace training from one GPU to thousands of nodes across a cluster.
What it can do
The skills built into this template. Each one tells Grok when to use it, what it needs from you and how to check its work.
- Scale PyTorch training to multi-GPU
- Scale HuggingFace Transformers training
- Scale TensorFlow training to multi-GPU
- Run hyperparameter tuning with Ray Tune
- Enable checkpointing and fault tolerance
- Configure multi-node cluster training
- Report cluster status and resource usage
Apps it works with
Connect these in Grok for the best results. It also works without them: you paste the information in.
Ray cluster (head node address and port)GPU resources per node
The full template
For members
The complete Distributed Training Ray Train template: its identity, every skill step by step, its limits and its first-run questions, ready to paste into a new Grok Bot. Members get it, and every other template here.
Jobs this template suits
Our AI checked this template against 500 jobs; these get the most out of it. Each job links to its learning path.