Breakthroughs in Resource Optimization Technology
ColossalAI realizes the intelligent and coordinated use of CPU and GPU memory through heterogeneous memory management technology. This technological innovation reduces the memory footprint of large models by 40%-60%, making it possible for ordinary GPU clusters to train AI models with very large parameters.
Meanwhile, the platform's mixed-precision training function automatically optimizes the computational allocation of FP16 and FP32, increasing the computational speed by 2-3 times while maintaining model accuracy. Together with the Zero Redundancy Optimizer (ZeRO) technology, it further reduces GPU memory redundancy during training.
The synergistic application of these technologies enables ColossalAI to train models 5-10 times larger than traditional methods with the same hardware, or reduce hardware costs by 50%-70% for the same model size.
This answer comes from the articleColossalAI: Providing Efficient Large-Scale AI Model Training SolutionsThe
