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Tensor Processing Unit (TPU)

Tensor Processing Unit

Google's in-house AI chip, and the leading challenger to NVIDIA's dominance.

In plain words

Tensor Processing Unit — a chip Google designed itself for its own AI. It has gone through generations since 2016, and it's what powers Gemini's training and services.

What it means is that there's a company that doesn't need NVIDIA. In an industry structure where GPU supply depends on a single company, Google controls its own costs and supply with its own chip. Other Big Tech firms are building their own AI chips for the same reason, and TPU is often cited as the success story in "de-NVIDIA" stories.

GPU vs. NPU vs. TPU: What's the Difference?

Is it a chip Google built for its own use?, Is it a general-purpose processor?, Is it a low-power dedicated chip inside a device?

AI chip articles often mention all three in the same paragraph, making it hard to tell who's actually competing with whom. They're not fighting over the same turf — one dominates the data center, one sits inside your phone or laptop, and one was built by Google to run its own services.

AspectTensor Processing Unit (TPU)GPUNeural Processing Unit (NPU)
Where it livesGoogle data centersData centers. Cloud serversInside your phone or laptop
Who makes itGoogle (manufactured with Broadcom's help)NVIDIA, AMDDevice makers like Apple, Qualcomm, Intel
Who uses itGoogle and Google Cloud customersNearly everyone building and selling modelsAnyone using a device — usually without realizing it
What it's good atLarge-scale training and serving, cheaplyThe heaviest training and large-scale servingRunning small models while saving power
In the news"Challenging NVIDIA's dominance""GPU shortage race," "NVIDIA earnings"The reality behind "AI phone" and "AI PC"
Can you buy one?No — you rent it through Google CloudYes, though supply falls short of demandIt's already built into any device you buy

Rule of thumbIf a model is built in a data center, it's a GPU. If it runs inside your own device, it's an NPU. If it's behind a Google service, it's a TPU.

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