Open Source Alternatives
Open source alternatives to Colossal-AI
Open source alternatives to Colossal-AI, ranked by GitHub stars and freshness.
11 open-source alternatives in the index, ranked by GitHub stars and freshness.
DeepSpeed
Community
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Best for: Teams training large models who need to maximize GPU efficiency and scale across multiple devices.
Megatron-LM
Community
Ongoing research training transformer models at scale
Best for: ML engineers training large transformer models who need production-grade distributed training infrastructure
GPT-NeoX
Community
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Best for: Researchers and engineers training custom large language models
FasterTransformer
Community
Transformer related optimization, including BERT, GPT
Best for: Developers seeking maximum inference performance for transformer models on NVIDIA hardware
torchtitan
Community
A PyTorch native platform for training generative AI models
Best for: Teams using PyTorch to train custom generative AI models at scale
Transformer Engine
Community
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide b
Best for: Developers training or deploying large transformer models on modern NVIDIA GPUs who need to maximize performance and minimize memory usage
nanotron
Community
Minimalistic large language model 3D-parallelism training
Best for: Researchers and engineers who need a simple, hackable framework for distributed LLM training experiments.
maxtext
Community
A simple, performant and scalable Jax LLM!
Best for: Developers already using Jax who need a streamlined, scalable LLM training framework
Megatron-DeepSpeed
Community
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Best for: Researchers and engineers training large-scale transformer models in distributed environments
Mesh Tensorflow
Community
Mesh TensorFlow: Model Parallelism Made Easier
Best for: Developers training large transformer models on TPU or GPU clusters
BMTrain
Community
Efficient Training (including pre-training and fine-tuning) for Big Models
Best for: Developers and researchers training or fine-tuning large models who need a specialized, efficiency-focused Python framework