hpcaitech/ColossalAI
🏗️ Frameworkhpcaitech
High-performance framework for distributed training of large AI models.
ColossalAI is a comprehensive unified system of parallelism strategies for large-scale deep learning. It integrates data parallelism, tensor parallelism, pipeline parallelism, and heterogeneous training to efficiently scale model training across hundreds of GPUs. Key features include Colossal-Auto for automatic parallelization, Gemini for memory optimization, and support for MoE (Mixture-of-Experts). It aims to make large AI model training cheaper, faster, and more accessible by reducing GPU memory usage and improving throughput. The framework is compatible with popular models like GPT, Llama, and Vision Transformers, and supports both training and inference on various hardware backends.
💡Highlights
- ├─41k+ GitHub stars
- ├─Supports data, tensor, pipeline, and heterogeneous parallelism
- └─Automatic parallelization with Colossal-Auto
🎯For
- ├─AI researchers
- ├─ML engineers
- └─data scientists