Unverified50% confidenceFactExact time
Cloud providers' practice of building in-house AI chips was first initiated by Google's TPU around 2015, after which Amazon launched Trainium/Inferentia, and Meta, ByteDance, and others followed suit.
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50%
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Long-term
Relevance
10/12/2026
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Unverified第一代云端TPU于2016年公开披露，最早是谷歌为数据中心开发的AI专用加速器77% similarUnverifiedHyperscale cloud vendors are increasingly deploying their own custom chips, including Google's TPU, Amazon's Trainium, and Meta's MTIA.76% similarVerifiedGoogle has taken the path of in-house compute through self-developed TPUs, and Amazon through Trainium and Inferentia chips.75% similarUnverifiedGoogle TPUs have been used internally since 2015 and have now iterated to the fifth generation; AMD has gained data center share with its MI300X series GPUs; Amazon has developed its own Trainium and Inferentia chips; and Microsoft has developed a proprietary AI chip codenamed Maia.73% similarUnverifiedGoogle possesses full-stack AI capabilities spanning from TPU chips to Gemini models to end-user applications, distinguishing it from OpenAI's model of relying on Microsoft Azure and NVIDIA GPUs.70% similar
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