developer-guide
Installation
SKILL.md
Developer Guide
This guide covers the recommended development workflow for Megatron Bridge. Two core principles apply everywhere: build and develop inside containers, and always use uv for package management.
Why Containers
Megatron Bridge depends on CUDA, NCCL, PyTorch with GPU support, Transformer Engine, and optional components like TRT-LLM, vLLM, and DeepEP. Installing these on a bare host is fragile and hard to reproduce. The project ships production-quality Dockerfiles that pin every dependency.
Use the container as your development environment. This guarantees: