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TPU transformation: A look back at 10 years of our AI-specialized chips

Google has been a leader on AI development for more than a decade by also being a leader in chip development for more than a decade.

The team looked at different approaches that existed on the market, but ultimately realized they were not able to meet the sheer demand of even those basic machine learning workloads our products were operating — let alone what might follow in the years to come. Trillium TPUs deliver more than 4.7x improvement in compute performance per chip (compared to the previous generation, TPU v5e) to help us keep pace with demands of even more advanced AI systems. A key goal for TPU v2 (and our subsequent hardware generations) was balancing between specializing our silicon design for training and serving contemporary models while still staying flexible enough for rapid change.

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