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Google expands 8th Gen Tensor series with agents workload-focused AI chips

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Google expands 8th Gen Tensor series with agents workload-focused AI chips

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Google adds TPU 8tx and TPU 8i Max, targetting secure AI inference and memory-intensive workloads, as company expands its custom chip portfolio to support enterprises deploying autonomous AI agents

Google's new TPU 8tx and TPU 8i Max are designed to support secure AI inference and complex agentic workloads. (Image: Google)

Sweta Kumari New Delhi 3 min read Last Updated : Nov 10 2026 | 2:00 PM IST

Google has expanded its eighth-generation Tensor Processing Unit (TPU) portfolio with two new AI chips: TPU 8tx and TPU 8i Max. According to the US-based technology giant, these chips are designed to support the growing demands of agentic artificial intelligence (AI). The new systems are dedicated to enterprises that run AI agents handling sensitive data, process larger volumes of information and perform complex, multi-step reasoning tasks.

The launch also expands Google's efforts to make its in-house AI chips accessible to developers and businesses as an alternative to conventional graphics processing units (GPUs, which comes from the house of Nvidia.

According to Google, the two systems address different computing requirements. While TPU 8tx focuses on secure and confidential AI inference, TPU 8i Max is designed to handle large context windows and memory-intensive workloads.

Google said that the TPU 8tx is designed for enterprises and government organisations that need to run AI models and autonomous agents alongside sensitive information. It focuses on confidential computing, allowing data and model weights to remain protected even while they are being processed.


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