Trillium TPU Is GA
(cloud.google.com)
The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over a decade ago, Google began developing custom AI accelerators, Tensor Processing Units (TPUs), to address the growing demands of AI workloads, paving the way for multimodal AI.
The rise of large-scale AI models capable of processing diverse modalities like text and images presents a unique infrastructural challenge. These models require immense computational power and specialized hardware to efficiently handle training, fine-tuning, and inference. Over a decade ago, Google began developing custom AI accelerators, Tensor Processing Units (TPUs), to address the growing demands of AI workloads, paving the way for multimodal AI.