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# What is the difference between NVIDIA GPUs and Google and Amazon chips?

**[Tiff In Tech](https://daily.dev/sources/tiffintech)** · 1 min read · 1 upvotes · 0 comments

## Summary

NVIDIA GPUs use flexible SIMT architecture with thousands of parallel processing units, making them versatile but power-intensive. Google's TPUs employ specialized systolic array designs optimized specifically for tensor math operations. The key differentiator in 2026 is interconnect technology: NVIDIA relies on electrical NVLink switching, while Google's Ironwood pods use optical circuit switching with mirrors to route light beams directly between 9,200+ chips, avoiding the memory wall problem that plagues traditional electrical connections at trillion-parameter scale.

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---

Tags: [#gpu](https://daily.dev/tags/gpu), [#hardware](https://daily.dev/tags/hardware), [#machine-learning](https://daily.dev/tags/machine-learning), [#nvidia](https://daily.dev/tags/nvidia)

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