# tanzeyy/megatron-lm architecture

> Architecture diagram of the GitHub repository tanzeyy/megatron-lm, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-28). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/tanzeyy/megatron-lm
- Repository: https://github.com/tanzeyy/megatron-lm

## Overview

Megatron-LM is a GPU-optimized system for training transformer models at scale, with Megatron Core providing composable model, parallelism, optimization, and data components. The main workflow is training entry point → dataset construction → model computation distributed across parallel strategies → optimization and checkpointing. The repository also supports inference serving and TensorRT-LLM export. The README documents these capabilities, but most implementation excerpts were not sampled; the graph therefore shows documented subsystem relationships at a high level and omits uncertain internal wiring.

Main entry points: [`megatron/training/training.py`](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/training/training.py) (Training loop), [`megatron/core/models/gpt/gpt_model.py`](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/models/gpt/gpt_model.py) (GPT model), [`pretrain_gpt.py`](https://github.com/tanzeyy/megatron-lm/blob/main/pretrain_gpt.py) (Pretraining entry), [`megatron/core/inference/engines`](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/inference/engines) (Inference engines)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_training["Training orchestration"]
  node_pretrain["Pretraining entry<br/>[pretrain_gpt.py]"]
  node_training_loop["Training loop<br/>[training.py]"]
  node_checkpoint["Checkpointing<br/>[checkpointing.py]"]
end

subgraph group_data["Data pipelines"]
  node_datasets["Dataset builders"]
  node_data_tools["Data preparation<br/>[preprocess_data.py]"]
end

subgraph group_compute["Model computation"]
  node_gpt["GPT model<br/>[gpt_model.py]"]
  node_transformer["Transformer layers"]
  node_moe["MoE layers<br/>[moe_layer.py]"]
  node_mamba["Mamba models<br/>[mamba_model.py]"]
  node_multimodal["Multimodal models"]
end

subgraph group_runtime["Distributed runtime"]
  node_optimizer["Optimizers<br/>[optimizer.py]"]
  node_distributed["Data parallelism"]
  node_tensor_parallel["Tensor parallelism"]
  node_pipeline["Pipeline parallelism"]
end

subgraph group_serving["Inference and export"]
  node_inference_api["Generation API<br/>[api.py]"]
  node_inference_engine["Inference engines"]
  node_controller["Generation controller"]
  node_inference_model["Inference wrappers"]
  node_server["HTTP endpoints<br/>[completions.py]"]
  node_export["TensorRT-LLM export"]
end

node_trainer(("Trainer"))
node_te{{"Transformer Engine"}}
node_trtllm{{"TensorRT-LLM"}}
node_checkpoint_store[("Checkpoint files")]

node_trainer -->|"starts"| node_pretrain
node_pretrain -->|"runs"| node_training_loop
node_pretrain -->|"configures"| node_datasets
node_data_tools -->|"prepares data"| node_datasets
node_datasets -->|"supplies batches"| node_training_loop
node_training_loop -->|"trains"| node_gpt
node_gpt -->|"uses layers"| node_transformer
node_gpt -.->|"supports"| node_moe
node_training_loop -.->|"trains"| node_mamba
node_training_loop -.->|"trains"| node_multimodal
node_training_loop -->|"updates weights"| node_optimizer
node_training_loop -->|"uses"| node_distributed
node_training_loop -->|"uses"| node_tensor_parallel
node_training_loop -->|"uses"| node_pipeline
node_transformer -.->|"optional backend"| node_te
node_training_loop -->|"saves state"| node_checkpoint
node_checkpoint -->|"writes"| node_checkpoint_store
node_trainer -->|"requests generation"| node_server
node_server -->|"dispatches"| node_inference_api
node_inference_api -->|"submits requests"| node_inference_engine
node_inference_engine -->|"steps generation"| node_controller
node_controller -->|"runs forward pass"| node_inference_model
node_inference_model -->|"wraps model"| node_gpt
node_inference_engine -->|"returns results"| node_server
node_trainer -->|"exports model"| node_export
node_export -->|"builds engine"| node_trtllm

click node_pretrain "https://github.com/tanzeyy/megatron-lm/blob/main/pretrain_gpt.py"
click node_training_loop "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/training/training.py"
click node_checkpoint "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/training/checkpointing.py"
click node_datasets "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/datasets"
click node_data_tools "https://github.com/tanzeyy/megatron-lm/blob/main/tools/preprocess_data.py"
click node_gpt "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/models/gpt/gpt_model.py"
click node_transformer "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/transformer/transformer_block.py"
click node_moe "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/transformer/moe/moe_layer.py"
click node_mamba "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/models/mamba/mamba_model.py"
click node_multimodal "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/models/multimodal"
click node_optimizer "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/optimizer/optimizer.py"
click node_distributed "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/distributed"
click node_tensor_parallel "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/tensor_parallel"
click node_pipeline "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/pipeline_parallel"
click node_inference_api "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/inference/text_generation/api.py"
click node_inference_engine "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/inference/engines"
click node_controller "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/inference/text_generation_controllers/text_generation_controller.py"
click node_inference_model "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/inference/model_inference_wrappers"
click node_server "https://github.com/tanzeyy/megatron-lm/blob/main/megatron/inference/endpoints/completions.py"
click node_export "https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/export/trtllm"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_pretrain,node_training_loop,node_checkpoint toneBlue
class node_datasets,node_data_tools,node_checkpoint_store toneAmber
class node_gpt,node_transformer,node_moe,node_mamba,node_multimodal toneMint
class node_optimizer,node_distributed,node_tensor_parallel,node_pipeline toneRose
class node_inference_api,node_inference_engine,node_controller,node_inference_model,node_server,node_export,node_trainer,node_te,node_trtllm toneIndigo
```

## Components

### Training orchestration

- [Pretraining entry](https://github.com/tanzeyy/megatron-lm/blob/main/pretrain_gpt.py): `pretrain_gpt.py`
- [Training loop](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/training/training.py): `megatron/training/training.py`
- [Checkpointing](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/training/checkpointing.py): `megatron/training/checkpointing.py`

### Data pipelines

- [Dataset builders](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/datasets): `megatron/core/datasets`
- [Data preparation](https://github.com/tanzeyy/megatron-lm/blob/main/tools/preprocess_data.py): `tools/preprocess_data.py`

### Model computation

- [GPT model](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/models/gpt/gpt_model.py): `megatron/core/models/gpt/gpt_model.py`
- [Transformer layers](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/transformer/transformer_block.py): `megatron/core/transformer/transformer_block.py`
- [MoE layers](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/transformer/moe/moe_layer.py): `megatron/core/transformer/moe/moe_layer.py`
- [Mamba models](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/models/mamba/mamba_model.py): `megatron/core/models/mamba/mamba_model.py`
- [Multimodal models](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/models/multimodal): `megatron/core/models/multimodal`

### Distributed runtime

- [Optimizers](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/optimizer/optimizer.py): `megatron/core/optimizer/optimizer.py`
- [Data parallelism](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/distributed): `megatron/core/distributed`
- [Tensor parallelism](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/tensor_parallel): `megatron/core/tensor_parallel`
- [Pipeline parallelism](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/pipeline_parallel): `megatron/core/pipeline_parallel`

### Inference and export

- [Generation API](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/inference/text_generation/api.py): `megatron/inference/text_generation/api.py`
- [Inference engines](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/inference/engines): `megatron/core/inference/engines`
- [Generation controller](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/core/inference/text_generation_controllers/text_generation_controller.py): `megatron/core/inference/text_generation_controllers/text_generation_controller.py`
- [Inference wrappers](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/inference/model_inference_wrappers): `megatron/core/inference/model_inference_wrappers`
- [HTTP endpoints](https://github.com/tanzeyy/megatron-lm/blob/main/megatron/inference/endpoints/completions.py): `megatron/inference/endpoints/completions.py`
- [TensorRT-LLM export](https://github.com/tanzeyy/megatron-lm/tree/main/megatron/core/export/trtllm): `megatron/core/export/trtllm`

### Other components

- **Trainer**
- **Transformer Engine**
- **TensorRT-LLM**
- **Checkpoint files**

## Connections

- Trainer → Pretraining entry: starts
- Pretraining entry → Training loop: runs
- Pretraining entry → Dataset builders: configures
- Data preparation → Dataset builders: prepares data
- Dataset builders → Training loop: supplies batches
- Training loop → GPT model: trains
- GPT model → Transformer layers: uses layers
- GPT model → MoE layers: supports
- Training loop → Mamba models: trains
- Training loop → Multimodal models: trains
- Training loop → Optimizers: updates weights
- Training loop → Data parallelism: uses
- Training loop → Tensor parallelism: uses
- Training loop → Pipeline parallelism: uses
- Transformer layers → Transformer Engine: optional backend
- Training loop → Checkpointing: saves state
- Checkpointing → Checkpoint files: writes
- Trainer → HTTP endpoints: requests generation
- HTTP endpoints → Generation API: dispatches
- Generation API → Inference engines: submits requests
- Inference engines → Generation controller: steps generation
- Generation controller → Inference wrappers: runs forward pass
- Inference wrappers → GPT model: wraps model
- Inference engines → HTTP endpoints: returns results
- Trainer → TensorRT-LLM export: exports model
- TensorRT-LLM export → TensorRT-LLM: builds engine