Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU…
Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU hours and more engineering iteration time. Accelerating transformers is therefore not just a performance optimization, but directly affects how quickly teams can experiment and how large a model they can afford to train.
