tpus
Latest stories covering tpus, with summaries and links to related coverage.
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TorchTPU: Running PyTorch Natively on TPUs at Google Scale
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7 min read
TorchTPU enables running PyTorch natively on Google’s Tensor Processing Units (TPUs), enhancing performance and hardware portability for large-scale machine learning models. It addresses the challenges of distributed systems by supporting clusters of up to 100,000 chips.
The eighth-generation TPU: An architecture deep dive
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1 min read
TPU 8t is designed for frontier-model training, while TPU 8i focuses on large-scale inference and reinforcement learning. Both are engineered with system-level co-design to enhance the AI lifecycle.
Our eighth generation TPUs: two chips for the agentic era
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7 min read
Google Cloud has introduced the eighth generation of Tensor Processing Units (TPUs), featuring two distinct architectures: TPU 8t for training and TPU 8i for inference. These chips are designed to enhance custom-built supercomputers, facilitating advanced model training, agent development, and large-scale inference workloads.