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Tensor Processing Units (TPUs)

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While GPUs (like Nvidia H100s) are the industry standard, Google designs its own AI accelerators called TPUs (Tensor Processing Units).

TPUs are explicitly designed for the matrix multiplication operations required by neural networks. They offer massive cost-performance benefits, particularly for training large foundational models.

The latest generation, Cloud TPU v5p, is what Google uses to train the Gemini models.

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What makes Cloud TPUs different from standard GPUs?
They are optimized specifically for matrix multiplication operations inherent to neural networks
They are slower but cheaper
They only run on Windows
They are used for rendering 3D graphics
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