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Megatron-LM

NVIDIA/Megatron-LM

Ongoing research training transformer models at scale

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GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

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18k stars4.5k forksLast push Sep 18, 2026 Python Other

Decision brief

Megatron-LM is a research project by NVIDIA for training large transformer models at scale, emphasizing parallelism strategies across multiple GPUs.

Good fit when

Use Megatron-LM when you need to train large transformer models and have access to multiple GPUs, as it excels in parallelism strategies like tensor parallelism (TP), pipeline parallelism (PP), data-2
>// The text was cut off, but based on the context, it seems to suggest using Megatron-LM for its advanced parallelism strategies which are particularly beneficial for large-scale model training on a多

Avoid when

Avoid using Megatron-LM if your project does not require large-scale model training or if you do not have access to multiple GPUs, as its benefits are most pronounced in these scenarios.
Do not use Megatron-LM if your team lacks the expertise to handle complex parallelism strategies or if your infrastructure cannot support the memory and computational demands of building from source.

Requirements:: Building from source can be memory-intensive, and users may need to limit parallel compilation jobs by setting MAX_JOBS to manage memory usage.

Observed Sep 18, 2026 · Source: enrich:decision_facts

Megatron-LM alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

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Backing

Company context for Nvidia. Display-only - separate from trust and ranking.

Company: NVIDIA Corporation·GitHub org profile·Jul 11, 2026
Employees: 11,528·Wikidata (P1128 employees)·Jul 11, 2026
Commercial model: Pure OSS·GitHub org profile (public repos)·Jul 11, 2026

Install

pip install Megatron-LM

PyPI

How it fits your stack(9)

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Integrates

transformers

Megatron-LM, designed for GPU-optimized training of large-scale transformer models, integrates with the transformers library by leveraging its extensive collection of pre-trained models and utilities to facilitate the development and fine-tuning of these models in Megatron's framework.

integrates

DeepLearningExamples

Megatron-LM and DeepLearningExamples both focus on state-of-the-art deep learning capabilities specifically optimized for NVIDIA GPUs. They integrate well because they share a common hardware ecosystem and aim to enhance machine learning performance.

integrates

Depends on

flash-linear-attention

flash-linear-attention likely depends on Megatron-LM for GPU optimization during the training of large-scale transformer models.

used by

vllm

Both projects are related in their focus on serving and handling large language models efficiently. While Megatron-LM focuses more on training at scale, vLLM emphasizes fast and affordable LLM inference.

autogen

A programming framework for agentic AI

heretic

Fully automatic censorship removal for language models

Relationship graph

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Similar tools

Same-category neighbours not already linked as typed edges.

gpt-neox

Model parallel autoregressive transformers on GPUs

7.5k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Megatron-LM is a research project by NVIDIA for training large transformer models at scale, focusing on parallelism strategies across multiple GPUs.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Sep 18, 2026

Graph entities

Nvidiacompany

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

- **[Style Guide](style-guide.md)** - Python style overrides

Source link

README

Getting Started Install from PyPI: Or clone and install from source: Note: Building from source can use a lot of memory. If the build runs out of memory, limit parallel compilation jobs by setting (for example, ). For NVIDIA GPU Cloud (NGC) container setup and all installation op...

For agents

This page has a .md twin and JSON over the API.

/tools/nvidia-megatron-lm.md GET /api/graphcanon/tools/nvidia-megatron-lm GET /api/graphcanon/graph?tool=nvidia-megatron-lm