3 things to know about Ironwood, Google’s latest TPU

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By acting as a hugely efficient parallel processor, Ironwood excels at managing massive calculations and significantly minimizes the internal time required for data to shuttle across the chip. This breakthrough dramatically speeds up complex AI, making models run significantly faster and smoother across our cloud.

And now, Ironwood is here for Cloud customers.

Here are three things to know about it.

1. It’s purpose-built for the age of inference

As the industry’s focus shifts from training frontier models to powering useful, responsive interactions with them, Ironwood provides the essential hardware. It’s custom built for high-volume, low-latency AI inference and model serving. It offers more than 4X better performance per chip for both training and inference workloads compared to our last generation, making Ironwood our most powerful and energy-efficient custom silicon to date.



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