Overview
Megatron-LM is NVIDIA’s reference implementation for training large language models, focusing on GPU-optimized kernels, tensor/pipeline parallelism, and end-to-end training utilities.
Key features
- Flexible parallelism strategies (tensor, pipeline, context, FSDP).
- Optimized kernels and mixed-precision support (FP16/BF16/FP8).
- End-to-end training scripts and examples.
Use cases
- Research and engineering for training large-scale LLMs.
- Performance tuning and kernel validation on NVIDIA GPUs.
Technical highlights
- Built on PyTorch with modular Megatron Core components.
- Integrates with acceleration libraries like Transformer Engine.