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Open Source Alternatives

Open source alternatives to DeepSpeed

Open source alternatives to DeepSpeed, ranked by GitHub stars and freshness.

9 open-source alternatives in the index, ranked by GitHub stars and freshness.

O OSS Framework medium

unslothai

Community

Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.

★ 65,515 updated 2d ago
open-source

Best for: Developers who want to fine-tune or experiment with open models locally without cloud costs.

O OSS Framework medium

Colossal-AI

Community

Making large AI models cheaper, faster and more accessible

★ 41,382 updated 9d ago
open-source

Best for: Teams training large models who have access to multiple GPUs and need to optimize resource efficiency

O OSS Framework medium

Megatron-LM

Community

Ongoing research training transformer models at scale

★ 16,545 updated 2d ago
open-source

Best for: ML engineers training large transformer models who need production-grade distributed training infrastructure

O OSS Framework medium

FasterTransformer

Community

Transformer related optimization, including BERT, GPT

★ 6,418 updated 2y ago
open-source

Best for: Developers seeking maximum inference performance for transformer models on NVIDIA hardware

O OSS Framework medium

torchtitan

Community

A PyTorch native platform for training generative AI models

★ 5,394 updated 2d ago
open-source

Best for: Teams using PyTorch to train custom generative AI models at scale

O OSS Framework medium

nanotron

Community

Minimalistic large language model 3D-parallelism training

★ 2,705 updated 8d ago
open-source

Best for: Researchers and engineers who need a simple, hackable framework for distributed LLM training experiments.

O OSS Framework medium

maxtext

Community

A simple, performant and scalable Jax LLM!

★ 2,303 updated 2d ago
open-source

Best for: Developers already using Jax who need a streamlined, scalable LLM training framework

O OSS Framework medium

BMTrain

Community

Efficient Training (including pre-training and fine-tuning) for Big Models

★ 624 updated 1mo ago
open-source

Best for: Developers and researchers training or fine-tuning large models who need a specialized, efficiency-focused Python framework

O OSS Framework medium

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Community

Megatron-LM

open-source

Best for: Researchers and engineers training very large transformer-based language models.