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techcrunch ai · November 10, 2026

Google unveils TPU 8tx and TPU 8i Max for AI workloads

google introduces two new ai chips, tpu 8tx and tpu 8i max, designed for confidential inference and large ai workloads, reducing dependence on external chipmakers. this impacts cloud computing and ai hardware markets.

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google has introduced two new ai chips, tpu 8tx and tpu 8i max, which are part of its eighth generation of tensor processing units tpUs. tpu 8tx, developed with amd, is designed for confidential training and running of ai models, featuring security directly in the hardware layer. tpu 8i max combines two inference-focused tpu 8i chips, doubling memory capacity, processing power, and bandwidth. these chips help google reduce reliance on external chipmakers like nvidia for its cloud computing business. this launch comes as hyperscalers and ai labs are working on their own ai-specific semiconductors.

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