Train large language models across NVIDIA GPUs.
Creates distributed language-model training configurations and guides their launch and performance tuning with Megatron-Core.
When to use it
Use for large-scale training above 10B parameters when GPU efficiency and fine-grained parallelism control matter.
Give it a language-model training task in a project; it configures parallelism and hyperparameters, launches training, and guides performance monitoring.
What you provide
Lists megatron-core as a dependency for the training workflows.
Lists torch as a training dependency.
Lists apex as a training dependency.
Lists transformer-engine as a training dependency.
No additional actions listed.