TransformerEngine
Transformer Engine uses FP8 precision to accelerate Transformer models on NVIDIA Hopper GPUs, facilitating enhanced memory efficiency during training and inference. It includes optimized modules and a mixed-precision API for integration with deep learning frameworks, supporting architectures like BERT, GPT, and T5. With accessible Python and C++ APIs, Transformer Engine enables mixed-precision training, offering speed improvements with minimal accuracy changes. Compatible with major LLM libraries and supporting various GPU architectures, it is a versatile tool for NLP projects.
