Google's sixth-generation tensor processing unit delivers superior AI workload performance.
Trillium TPU is Google Cloud’s sixth-generation Tensor Processing Unit (TPU) designed specifically for AI workloads, delivering enhanced performance and cost-effectiveness. As a key component of the Google Cloud AI Hypercomputer, it supports the training, fine-tuning and inference of large-scale AI models through integrated hardware systems, open software, leading machine learning frameworks and flexible consumption models. Trillium TPU has significantly improved performance, cost efficiency and sustainability, and is an important advancement in the field of AI.
Trillium TPU is targeted at AI researchers, developers and enterprises, especially those organizations that need to handle large-scale AI model training and inference. Its strong performance and cost-effectiveness make it ideal for enterprises and researchers who need efficient, scalable AI solutions.
AI21 Labs uses Trillium TPU to accelerate the development of its Mamba and Jamba language models, providing more powerful AI solutions.
Google used Trillium TPUs to train the latest Gemini 2.0 AI model, demonstrating its high performance in AI model training.
Trillium TPU excels in multi-step inference tasks, providing significant inference performance improvements for image diffusion and large language models.
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