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Pretty well. Anthropic runs some of Claude inference on GKE and TPU v5e - this talk at the last GCP conference has some details:

https://youtu.be/b87I1plPeMg?si=T4XSFUzXG8BwpphR

Ecosystem support for GPU is very strong and so smaller teams might find TPUs to have a steeper learning curve. Sophisticated users can definitely get wins today on TPU if they can get capacity.

And it’s not as if nvidia is standing still, so how the strengths of each change over future generations isn’t set either. Ie TPU are “simple” matrix multipliers and also optimized for operation at scale, GPU are more general purpose and have strong ecosystem power.

Disclaimer - work on GKE on enabling AI workloads.



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