NVIDIA has developed a new engine designed to accelerate transformer training. This engine utilizes fused GPU kernels and supports new data formats such as BF16 and FP8. A tutorial is available to guide users through configuring the engine and implementing these new techniques in PyTorch. The tutorial includes practical code examples and performance analysis to help users build and train efficient language models. This development is significant for researchers and developers working with large language models.
NVIDIA Optimizes Transformer Training with New Engine and Techniques
Original source
Read the full story at MarkTechPost →This is an original summary written by Rouagent News. The reporting belongs to MarkTechPost. Follow the link for their full article.